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AI Explorer
AI Explorer
Apr 22, 2026 · Artificial Intelligence

How AI‑Powered TrendRadar Provides a Private, Automated Info Radar to Cut Through Noise

TrendRadar, an open‑source Python project with over 54,000 GitHub stars, combines multi‑platform aggregation, large‑model AI filtering, sentiment analysis, and multi‑channel push to deliver a private, Docker‑deployable information radar that lets users define keywords and receive concise, translated summaries in seconds.

AIDockerSentiment Analysis
0 likes · 6 min read
How AI‑Powered TrendRadar Provides a Private, Automated Info Radar to Cut Through Noise
DaTaobao Tech
DaTaobao Tech
Mar 6, 2026 · Artificial Intelligence

How We Built an LLM‑Powered User Feedback Sentiment Monitoring System

The transaction terminal team created an AI‑driven workflow that automatically collects, cleans, classifies, alerts, distributes, attributes, and reviews user feedback, using a four‑step LLM model to ensure controllable, consistent, and explainable sentiment analysis while boosting efficiency and trust.

AI workflowAutomationLLM
0 likes · 12 min read
How We Built an LLM‑Powered User Feedback Sentiment Monitoring System
Old Meng AI Explorer
Old Meng AI Explorer
Nov 14, 2025 · Industry Insights

BettaFish: AI-Powered Multi-Platform Public Opinion Monitoring in Minutes

BettaFish is an open‑source, multi‑Agent system that automatically crawls data from over 30 Chinese and international platforms, applies AI sentiment and trend analysis, generates structured reports in about ten minutes, and offers customizable local deployment, dramatically boosting efficiency for brand PR, media, and market analysts.

AIAutomationSentiment Analysis
0 likes · 11 min read
BettaFish: AI-Powered Multi-Platform Public Opinion Monitoring in Minutes
JavaEdge
JavaEdge
Mar 12, 2025 · Artificial Intelligence

How to Analyze Chinese Sentiment Text Data: From Stats to Word Clouds

This article guides Java developers through a complete Chinese sentiment‑analysis dataset exploration, covering label distribution, sentence length statistics, vocabulary counts, adjective extraction, and visual word‑cloud generation using Python libraries such as pandas, seaborn, jieba, and wordcloud.

Data visualizationNLPPython
0 likes · 10 min read
How to Analyze Chinese Sentiment Text Data: From Stats to Word Clouds
AI Code to Success
AI Code to Success
Feb 19, 2025 · Artificial Intelligence

How to Build Traffic‑Sign Recognition and Sentiment Analysis with Keras – A Step‑by‑Step Guide

This article walks through practical Keras tutorials for image‑based traffic‑sign classification and text‑based sentiment analysis, covering data preparation, preprocessing, model construction, training, evaluation, deployment, and a concise comparison of Keras with TensorFlow and PyTorch.

Deep LearningImage ClassificationKeras
0 likes · 19 min read
How to Build Traffic‑Sign Recognition and Sentiment Analysis with Keras – A Step‑by‑Step Guide
Python Programming Learning Circle
Python Programming Learning Circle
Aug 22, 2024 · Artificial Intelligence

Python-Based WeChat Friend Data Analysis: Gender, Location, Avatar, and Signature Insights

This article demonstrates how to use Python libraries such as itchat, matplotlib, jieba, and SnowNLP to collect WeChat friend information and perform data analysis on gender, location, avatars, and signatures, presenting results with charts and word clouds, including sentiment and face detection.

Sentiment AnalysisWeChatdata-analysis
0 likes · 12 min read
Python-Based WeChat Friend Data Analysis: Gender, Location, Avatar, and Signature Insights
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Feb 21, 2024 · Artificial Intelligence

Cloud Music Public Opinion Analysis Platform: Architecture and GPT-Based Implementation

The article describes NetEase Cloud Music’s public‑opinion analysis platform, which integrates external and internal data streams into a layered architecture—ingestion, processing, storage in Elasticsearch, visualization, and monitoring—and employs GPT‑based analyzers for clustering, sentiment, summarization, and intelligent alerts while optimizing costs and planning automated GPT‑driven reports.

Data PlatformElasticsearchGPT analysis
0 likes · 13 min read
Cloud Music Public Opinion Analysis Platform: Architecture and GPT-Based Implementation
Python Programming Learning Circle
Python Programming Learning Circle
Dec 19, 2023 · Artificial Intelligence

Analyzing WeChat Friend Data with Python: Gender, Avatar, Signature, and Location Insights

This tutorial demonstrates how to use Python libraries such as itchat, jieba, matplotlib, snownlp, and Tencent Youtu SDK to collect WeChat friend information and perform data analysis on gender distribution, avatar characteristics, signature sentiment, and geographic location, presenting the results with charts and word clouds.

Sentiment AnalysisWeChatdata-analysis
0 likes · 14 min read
Analyzing WeChat Friend Data with Python: Gender, Avatar, Signature, and Location Insights
Test Development Learning Exchange
Test Development Learning Exchange
Nov 11, 2023 · Artificial Intelligence

Python Techniques for Comprehensive Text Data Analysis

This guide demonstrates how to use Python for end‑to‑end text data analysis, covering preprocessing, word‑frequency visualization, classification, sentiment detection, similarity measurement, entity recognition, keyword extraction, summarization, translation, and generation with clear code examples.

NLPPythonSentiment Analysis
0 likes · 6 min read
Python Techniques for Comprehensive Text Data Analysis
Data Thinking Notes
Data Thinking Notes
Aug 21, 2023 · Product Management

How User Profiling Drives Personalized Marketing and Product Innovation

This article explains the fundamentals, principles, methodologies, and practical applications of user profiling, covering core concepts such as user characteristics, behavior, preferences, needs, and value, the data collection-to-model pipeline, common models like RFM, clustering, association rules, text mining, and how these insights enable personalized recommendation, precise marketing, brand management, service optimization, CRM, market research, and product innovation.

RFM modelSentiment Analysisassociation rules
0 likes · 14 min read
How User Profiling Drives Personalized Marketing and Product Innovation
IT Architects Alliance
IT Architects Alliance
Feb 23, 2023 · Artificial Intelligence

Training a Positive Review Generator with RLHF and PPO

This article demonstrates how to use Reinforcement Learning from Human Feedback (RLHF) with a PPO algorithm and a sentiment‑analysis model to train a language model that generates positive product reviews, covering task definition, data sampling, reward evaluation, model optimization, and experimental results.

GPTLanguage ModelPPO
0 likes · 11 min read
Training a Positive Review Generator with RLHF and PPO
Architect
Architect
Feb 19, 2023 · Artificial Intelligence

Training a Positive Review Generator with RLHF and PPO

This article demonstrates how to apply Reinforcement Learning from Human Feedback (RLHF) using a sentiment‑analysis model as a reward function and Proximal Policy Optimization (PPO) to fine‑tune a language model that generates positive product reviews, complete with code snippets and experimental results.

Language ModelPPORLHF
0 likes · 10 min read
Training a Positive Review Generator with RLHF and PPO
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Jan 10, 2023 · Artificial Intelligence

Sentiment Classification and Topic Clustering for NetEase Cloud Music Comments

To boost NetEase Cloud Music’s comment handling, the authors combine active‑learning‑driven relabeling, domain‑specific MLM pretraining, contrastive‑learning‑based sample expansion, and multi‑task BERT sharing to raise sentiment‑classification precision and recall above 90 % and double moderation clean‑rate, while employing prompt‑generated story themes, IP‑focused classifiers, and hot‑word aggregation for effective short‑text topic clustering and scalable, theme‑aware distribution.

NLPSentiment Analysisactive learning
0 likes · 10 min read
Sentiment Classification and Topic Clustering for NetEase Cloud Music Comments
NetEase LeiHuo Testing Center
NetEase LeiHuo Testing Center
Dec 23, 2022 · Fundamentals

Understanding Western Players' Emotional Expressions in Game Communities

The article examines how Western gamers use word transformations, abbreviations, emojis, and multilingual snippets in online chats to convey sarcasm, emphasis, and camaraderie, highlighting the need for nuanced sentiment analysis to accurately interpret player emotions and improve community feedback loops.

Sentiment AnalysisUser Researchgaming community
0 likes · 13 min read
Understanding Western Players' Emotional Expressions in Game Communities
Python Programming Learning Circle
Python Programming Learning Circle
Oct 7, 2022 · Artificial Intelligence

Analyzing WeChat Friend Data with Python: Gender, Avatar, Signature, and Location Insights

This article demonstrates how to use Python libraries such as itchat, jieba, matplotlib, snownlp, and TencentYoutuyun to retrieve WeChat friend information and perform data analysis on gender distribution, avatar usage, signature sentiment, and geographic location, presenting results with charts and word clouds.

Image ProcessingPythonSentiment Analysis
0 likes · 12 min read
Analyzing WeChat Friend Data with Python: Gender, Avatar, Signature, and Location Insights
MaGe Linux Operations
MaGe Linux Operations
Jun 29, 2022 · Fundamentals

Analyzing Your WeChat Friends with Python: Gender, Avatar, Signature & Location

This tutorial shows how to use Python libraries such as itchat, jieba, matplotlib, snownlp, and Tencent Youtu to fetch WeChat friend data and then visualize gender distribution, detect face usage in avatars, generate word clouds and sentiment analysis for signatures, and export location information for mapping.

Face DetectionPythonSentiment Analysis
0 likes · 15 min read
Analyzing Your WeChat Friends with Python: Gender, Avatar, Signature & Location
Model Perspective
Model Perspective
Jun 24, 2022 · Fundamentals

How to Quantify TV Drama 'Sweetness': Modeling, Scoring, and Audience Preferences

This article explores how to define the 'sweetness' of TV drama scenes, proposes a mathematical model to evaluate and score a series' sweetness, applies the model to a familiar show, discusses acceptable sweetness ranges, segments audiences by preference, and provides a sample review focusing on sweetness.

Sentiment AnalysisTV dramaaudience segmentation
0 likes · 3 min read
How to Quantify TV Drama 'Sweetness': Modeling, Scoring, and Audience Preferences
Python Programming Learning Circle
Python Programming Learning Circle
Mar 3, 2022 · Artificial Intelligence

Ten‑Line Python Projects: QR Code, Word Cloud, Image Segmentation, Sentiment Analysis, Mask Detection, Message Spam, OCR, and a Simple Game

This article presents a series of concise Python examples—each under ten lines—demonstrating how to generate QR codes, create word clouds, perform image segmentation, conduct sentiment analysis, detect masks, automate message sending, extract text with OCR, and build a basic number‑guessing game, showcasing the versatility of Python for quick prototyping across AI and utility tasks.

GameOCRQR code
0 likes · 10 min read
Ten‑Line Python Projects: QR Code, Word Cloud, Image Segmentation, Sentiment Analysis, Mask Detection, Message Spam, OCR, and a Simple Game
DataFunSummit
DataFunSummit
Feb 28, 2022 · Artificial Intelligence

UGC Sentiment Analysis Solutions and Applications in Taobao

This article presents a comprehensive overview of Taobao's user‑generated content (UGC) sentiment analysis pipeline, covering background, task definition, challenges, model architecture—including RoBERTa‑based extraction, sentiment‑knowledge pre‑training, and graph augmentation—personalized impression ranking, business impact cases, and future research directions.

Sentiment AnalysisUGCaspect extraction
0 likes · 16 min read
UGC Sentiment Analysis Solutions and Applications in Taobao
Youku Technology
Youku Technology
Feb 28, 2022 · Artificial Intelligence

Seq2Path: Generating Sentiment Tuples as Paths of a Tree

Seq2Path treats each sentiment tuple as an independent tree path, training with average path loss and decoding via constrained beam search with a discriminative token, achieving state‑of‑the‑art results on five aspect‑based sentiment analysis datasets and deployment in Alibaba Entertainment AI Brain.

ACLBeam SearchInformation Extraction
0 likes · 3 min read
Seq2Path: Generating Sentiment Tuples as Paths of a Tree
Python Crawling & Data Mining
Python Crawling & Data Mining
Feb 9, 2022 · Artificial Intelligence

How to Turn Crawled CSV Data into Word Clouds and Sentiment Scores with Python

This guide walks you through extracting text from a CSV obtained via Python web scraping, cleaning it with stop‑words, generating a word‑cloud, performing jieba tokenization and frequency analysis, and finally applying SnowNLP for sentiment scoring, with all code snippets and data links provided.

Sentiment AnalysisSnowNLPWeb Scraping
0 likes · 12 min read
How to Turn Crawled CSV Data into Word Clouds and Sentiment Scores with Python
DataFunTalk
DataFunTalk
Feb 2, 2022 · Artificial Intelligence

UGC Sentiment Analysis Solutions and Applications in Taobao

This article presents a comprehensive overview of Taobao's user‑generated content sentiment analysis pipeline, covering task definition, challenges, model architecture with RoBERTa‑based extraction, sentiment‑knowledge pre‑training, graph augmentation, personalized ranking, business impact metrics, and future research directions.

Deep LearningKnowledge GraphSentiment Analysis
0 likes · 16 min read
UGC Sentiment Analysis Solutions and Applications in Taobao
Meituan Technology Team
Meituan Technology Team
Dec 9, 2021 · Artificial Intelligence

Fine-Grained Aspect-Based Sentiment Analysis for Meituan's To‑Restaurant Business

To enhance decision‑making for users and quality monitoring for merchants, Meituan’s to‑restaurant platform implements fine‑grained aspect‑based sentiment analysis that extracts dish, attribute, opinion and polarity tuples from reviews, employing both a BERT‑CRF pipeline and a joint Dual‑MRC model which raise F1 scores from 0.61 to 0.68, and are deployed in dashboards and review‑management tools, with future work targeting efficiency and broader four‑tuple extraction.

ABSABERTNLP
0 likes · 28 min read
Fine-Grained Aspect-Based Sentiment Analysis for Meituan's To‑Restaurant Business
DataFunTalk
DataFunTalk
Nov 29, 2021 · Artificial Intelligence

Text Mining for User Research: Architecture, Labeling, and Application Cases at JD.com

The presentation explains how JD.com leverages large‑scale text mining and NLP techniques—including data cleaning, multi‑level labeling, sentiment classification with models such as TextCNN, RoBERTa, and USE—to transform unstructured customer feedback into actionable product insights across various e‑commerce scenarios.

AINLPSentiment Analysis
0 likes · 18 min read
Text Mining for User Research: Architecture, Labeling, and Application Cases at JD.com
AntTech
AntTech
Oct 29, 2021 · Artificial Intelligence

Ant Insurance Technology and CASIA Win Two Tracks at MuSe2021 Multimodal Sentiment Challenge (ACM MM 2021)

The Ant Insurance Technology team, together with the Institute of Automation of the Chinese Academy of Sciences, secured first place in both the MuSe‑Wilder and MuSe‑Sent tracks of the MuSe2021 Multimodal Sentiment Challenge held at the 29th ACM International Conference on Multimedia in Chengdu, showcasing advanced multimodal AI techniques.

BiLSTMDeep LearningMuSe2021
0 likes · 4 min read
Ant Insurance Technology and CASIA Win Two Tracks at MuSe2021 Multimodal Sentiment Challenge (ACM MM 2021)
Meituan Technology Team
Meituan Technology Team
Oct 21, 2021 · Artificial Intelligence

Meituan's End-to-End Sentiment Analysis Technology and the ASAP Dataset

Meituan’s NLP Center introduced the ASAP dataset—the largest real‑world Chinese attribute‑level sentiment corpus—to date, and the article traces the progression from document‑level regression models upgraded with MT‑BERT, through multi‑task attribute‑level ABSA and opinion‑triplet extraction, to scalable real‑time and batch services, while outlining future transfer‑learning and few‑shot research.

MeituanNLPSentiment Analysis
0 likes · 25 min read
Meituan's End-to-End Sentiment Analysis Technology and the ASAP Dataset
DeWu Technology
DeWu Technology
Jul 18, 2021 · Artificial Intelligence

Deep Learning Techniques for Sentiment Analysis

The article explains how deep‑learning models, particularly convolutional neural networks with token‑level padding, kernel size three, and max‑pooling, can automatically classify e‑commerce product reviews into eight sentiment categories, offering scalable insight for decision‑making and paving the way for recommendation, QA, and risk‑assessment applications.

Deep LearningSentiment Analysisconvolutional neural network
0 likes · 9 min read
Deep Learning Techniques for Sentiment Analysis
MaGe Linux Operations
MaGe Linux Operations
Jun 7, 2021 · Artificial Intelligence

How to Analyze Your WeChat Friends with Python: Gender, Avatar, Signature & Location Insights

This tutorial shows how to use Python libraries such as itchat, jieba, matplotlib, snownlp, and Tencent Youtu to fetch WeChat friend data and produce visual analyses of gender distribution, avatar face detection and tags, signature word clouds and sentiment, and geographic location, all illustrated with charts and code examples.

Face DetectionSentiment AnalysisWeChat
0 likes · 15 min read
How to Analyze Your WeChat Friends with Python: Gender, Avatar, Signature & Location Insights
DataFunTalk
DataFunTalk
May 8, 2021 · Artificial Intelligence

Attribute‑Level Sentiment Analysis for E‑commerce: Tasks, Challenges, and System Design

This article presents a comprehensive overview of sentiment analysis in user‑generated content, detailing document‑, sentence‑, and aspect‑level tasks, defining the Aspect Sentiment Triplet Extraction problem for e‑commerce reviews, describing a three‑stage pipeline with pre‑training, multi‑domain modeling and attribute normalization, and reporting significant business improvements such as 400% CTR lift, while also discussing data imbalance, annotation scarcity, and future research directions.

Sentiment Analysisaspect based sentimente‑commerce
0 likes · 15 min read
Attribute‑Level Sentiment Analysis for E‑commerce: Tasks, Challenges, and System Design
DataFunTalk
DataFunTalk
Mar 14, 2021 · Artificial Intelligence

A Review of Medical Domain Sentiment Analysis: Interpretability, Contextual Aspect‑Sentiment Relations, Noisy Labels, and Domain Lexicon Construction

This article reviews recent research on medical sentiment analysis, covering interpretability of neural models, contextual aspect‑sentiment interactions, strategies for handling noisy labels, and methods for building domain‑specific sentiment lexicons, highlighting challenges and proposed solutions.

Deep LearningInterpretabilitySentiment Analysis
0 likes · 19 min read
A Review of Medical Domain Sentiment Analysis: Interpretability, Contextual Aspect‑Sentiment Relations, Noisy Labels, and Domain Lexicon Construction
DataFunTalk
DataFunTalk
Feb 26, 2021 · Artificial Intelligence

Fine‑Grained Sentiment Analysis and Opinion Quadruple Extraction: Methods, Tasks, and Applications

This article introduces the concepts, tasks, and recent advances in text sentiment analysis, focusing on attribute‑level sentiment (TG‑ABSA) and opinion‑quadruple extraction, describing unsupervised, reading‑comprehension, and multi‑task deep‑learning approaches, their implementation on Huawei Cloud, experimental results, and future research directions.

Deep LearningNLPSentiment Analysis
0 likes · 20 min read
Fine‑Grained Sentiment Analysis and Opinion Quadruple Extraction: Methods, Tasks, and Applications
Youku Technology
Youku Technology
Dec 9, 2020 · Artificial Intelligence

Four Alibaba Papers Accepted at AAAI 2021: Bandits, Video Adaptation, Sentiment, Segmentation

AAAI 2021, the premier AI conference with a 21.4% acceptance rate, accepted four papers from Alibaba Entertainment covering non‑stationary stochastic bandits with graph feedback, spatial‑temporal causal inference for image‑to‑video adaptation, a unified MRC framework for aspect‑based sentiment analysis, and amodal segmentation using shape priors.

AAAI 2021Alibaba ResearchAmodal Segmentation
0 likes · 5 min read
Four Alibaba Papers Accepted at AAAI 2021: Bandits, Video Adaptation, Sentiment, Segmentation
Python Crawling & Data Mining
Python Crawling & Data Mining
Dec 2, 2020 · Artificial Intelligence

Scrape, Clean, and Visualize Tencent Video Comments with Python – A Full Guide

This article walks through using Python to crawl Tencent Video's "Offer" season 2 comments, merge and clean the CSV data, perform exploratory analysis, generate visualizations and word clouds, and apply Baidu's open‑source NLP model for sentiment scoring, providing complete code snippets for each step.

PythonSentiment AnalysisWeb Scraping
0 likes · 16 min read
Scrape, Clean, and Visualize Tencent Video Comments with Python – A Full Guide
JD Tech Talk
JD Tech Talk
Sep 17, 2020 · Artificial Intelligence

Federated Transfer Learning: Concepts, Examples, and Model Structures

This article introduces the fundamentals of transfer learning and federated transfer learning, explains domain adaptation for sentiment analysis, presents two illustrative examples—mid-level image feature transfer and text-to-image transfer—and outlines the model architecture and loss functions of federated transfer learning frameworks.

Model architectureSentiment Analysisdomain adaptation
0 likes · 14 min read
Federated Transfer Learning: Concepts, Examples, and Model Structures
Tencent Mobility Industry Design Center
Tencent Mobility Industry Design Center
Aug 27, 2020 · Artificial Intelligence

How Can Robots Simulate Human Emotions? Exploring AI Sentiment and Speech Acts

This article examines the concept of emotional robots, distinguishing true emotion from sentiment analysis, and proposes a framework for endowing conversational AI with artificial emotions by analyzing user utterances through speech‑act theory, semantic roles, and contextual cues to generate appropriate robot emotional feedback.

AIEmotionRobotics
0 likes · 11 min read
How Can Robots Simulate Human Emotions? Exploring AI Sentiment and Speech Acts
iQIYI Technical Product Team
iQIYI Technical Product Team
Jul 24, 2020 · Artificial Intelligence

Fine‑grained Character Sentiment Analysis in Scripts: Models, Challenges, and Future Directions

The article surveys fine‑grained character sentiment analysis for script evaluation, detailing traditional, target‑dependent and aspect‑level methods, describing iQIYI’s BERT‑TD‑LSTM and CNN architectures, addressing challenges such as character name recognition and long‑range context, and outlining future improvements after a Parasite case study.

BERTLSTMNLP
0 likes · 19 min read
Fine‑grained Character Sentiment Analysis in Scripts: Models, Challenges, and Future Directions
DataFunTalk
DataFunTalk
Jun 8, 2020 · Artificial Intelligence

Recap of Baidu ACL 2020 Paper Sharing Session – Papers 4 to 6

The Baidu ACL 2020 paper sharing live session recap presents three NLP research papers—on unsupervised style transfer, sentiment‑knowledge‑enhanced pre‑training, and conversational recommendation over multi‑type dialogs—detailing their novel models, methodologies, and key contributions.

ACL 2020NLPSentiment Analysis
0 likes · 4 min read
Recap of Baidu ACL 2020 Paper Sharing Session – Papers 4 to 6
DataFunTalk
DataFunTalk
May 25, 2020 · Artificial Intelligence

NLP Techniques for Financial Investment Analysis: Case Studies from Two Sigma, BlackRock, UC Berkeley and Others

This article reviews how natural language processing is used in financial investment analysis, summarizing case studies from Two Sigma, BlackRock, UC Berkeley and other institutions that apply topic modeling, event extraction and sentiment analysis to improve portfolio performance and achieve excess returns.

Event ExtractionInvestment AnalysisNLP
0 likes · 17 min read
NLP Techniques for Financial Investment Analysis: Case Studies from Two Sigma, BlackRock, UC Berkeley and Others
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Nov 19, 2019 · Artificial Intelligence

Unlocking Text Sentiment Analysis: Concepts, Tasks, and Huawei Cloud’s Advances

This article introduces the fundamentals of text sentiment analysis, explains its five key elements and task categories, and details Huawei Cloud’s practical implementations for word‑level, sentence‑level, and target‑level sentiment analysis, including lexicon construction and multi‑attribute modeling.

Huawei CloudSentiment Analysisaspect based sentiment
0 likes · 12 min read
Unlocking Text Sentiment Analysis: Concepts, Tasks, and Huawei Cloud’s Advances
JD Retail Technology
JD Retail Technology
Aug 8, 2019 · Artificial Intelligence

From Word Representations to Sentiment Analysis – Talk by Dr. Feng Ao

On August 6, Dr. Feng Ao presented a comprehensive overview of the evolution of word representations and sentiment analysis, illustrating the shift from traditional linguistic features to modern pretrained models such as BERT and XLNet, and sharing practical convolutional experiments relevant to industry applications.

NLPSentiment Analysisartificial intelligence
0 likes · 4 min read
From Word Representations to Sentiment Analysis – Talk by Dr. Feng Ao
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 12, 2019 · Big Data

Designing a Real‑Time Big Data Sentiment System on Alibaba Cloud: From Lambda to Lambda‑Plus

This article explains how massive online data can be captured, structured, and analyzed in real time using a Lambda‑style architecture, then introduces a simplified Lambda‑Plus design built on Alibaba Cloud's Tablestore and Blink to meet both batch and streaming requirements while reducing operational complexity.

Big DataLambda architectureReal-time Processing
0 likes · 18 min read
Designing a Real‑Time Big Data Sentiment System on Alibaba Cloud: From Lambda to Lambda‑Plus
21CTO
21CTO
Jun 7, 2019 · Big Data

How to Build a Real-Time Big Data Sentiment Analysis Platform Using Lambda & Kappa

This article explores the design of a large‑scale, real‑time sentiment analysis system, detailing the data ingestion, processing, and storage requirements, comparing Lambda and Kappa architectures, and presenting an Alibaba Cloud solution that combines Tablestore and Blink for unified batch‑and‑stream processing.

Big DataKappa architectureLambda architecture
0 likes · 18 min read
How to Build a Real-Time Big Data Sentiment Analysis Platform Using Lambda & Kappa
Tencent Cloud Developer
Tencent Cloud Developer
Apr 24, 2019 · Artificial Intelligence

Chinese Text Sentiment Classification Using Multi‑layer LSTM: Data Preparation, Model Architecture, and Business Applications

The article details a practical workflow for Chinese sentiment classification in Tencent’s Goose Man product, covering data preparation, word‑segmentation challenges, a six‑layer multi‑LSTM architecture with word embeddings, training results achieving roughly 96 % accuracy, and its deployment for automatic detection of misleading and high‑impact user reviews.

Chinese NLPDeep LearningKeras
0 likes · 23 min read
Chinese Text Sentiment Classification Using Multi‑layer LSTM: Data Preparation, Model Architecture, and Business Applications
JD Tech Talk
JD Tech Talk
Apr 19, 2019 · Artificial Intelligence

Fundamentals and Practical Applications of Text Mining: Workflow, Methods, and a Sentiment Analysis Case Study

This article outlines the end‑to‑end text‑mining workflow—from data acquisition and preprocessing to feature extraction, algorithm selection, and model evaluation—while demonstrating a sentiment‑analysis case study that combines LDA topic modeling with deep‑learning classifiers.

Deep LearningLDASentiment Analysis
0 likes · 11 min read
Fundamentals and Practical Applications of Text Mining: Workflow, Methods, and a Sentiment Analysis Case Study
dbaplus Community
dbaplus Community
Apr 3, 2019 · Backend Development

How to Build a Python WeChat Bot for Timed Girlfriend Messages

Learn how to use Python's wxpy library to create a WeChat bot that automatically sends personalized greetings, holiday wishes, birthday messages, and English learning prompts to your girlfriend at scheduled times, while also performing simple sentiment analysis of her replies.

AutomationPythonScheduling
0 likes · 11 min read
How to Build a Python WeChat Bot for Timed Girlfriend Messages
Vipshop Quality Engineering
Vipshop Quality Engineering
Feb 22, 2019 · Artificial Intelligence

How Vipshop Built an AI‑Powered Sentiment Analysis System for Real‑Time Customer Feedback

Vipshop's in‑house sentiment monitoring platform integrates web‑scraped reviews, WeChat comments and internal service messages, applying lexical sentiment scoring, dictionary‑based Chinese word segmentation, TF‑IDF keyword ranking and lightweight classification to deliver real‑time insights, alerts and actionable reports for thousands of daily user comments.

Big DataNLPSentiment Analysis
0 likes · 17 min read
How Vipshop Built an AI‑Powered Sentiment Analysis System for Real‑Time Customer Feedback
Meituan Technology Team
Meituan Technology Team
Jan 25, 2019 · Artificial Intelligence

Fine-grained User Review Sentiment Classification: AI Challenger 2018 Champion's Approach

Cheng Huige’s winning AI Challenger 2018 solution treated fine‑grained Chinese review sentiment as a 20‑aspect multi‑class task, combining a high‑capacity LSTM encoder with self‑attention, word‑and‑character embeddings, simplified ELMo pre‑training, diverse tokenizations and a weighted seven‑model ensemble (including BERT), which together delivered the competition’s top F1 performance.

BERTDeep LearningELMo
0 likes · 14 min read
Fine-grained User Review Sentiment Classification: AI Challenger 2018 Champion's Approach
Meituan Technology Team
Meituan Technology Team
Oct 18, 2018 · Artificial Intelligence

AI Challenger 2018: Global AI Competition and Technical Insights

The AI Challenger 2018 competition, co‑hosted by Innovation Workshop, Sogou, Meituan‑Dianping and Meitu, provides over ten new datasets, more than ten research and industry tracks, and prizes exceeding 3 million RMB, with Meituan‑Dianping debuting as organizer on fine‑grained sentiment analysis and autonomous‑driving perception tracks, and launching a technical salon offering live courses such as the October 24 session on knowledge graphs and Meitu’s AI brain.

AI competitionKnowledge GraphSentiment Analysis
0 likes · 6 min read
AI Challenger 2018: Global AI Competition and Technical Insights
Meituan Technology Team
Meituan Technology Team
Sep 6, 2018 · Industry Insights

Inside the 2018 AI Challenger: Datasets, Tracks, and Real‑World Impact

The 2018 AI Challenger, co‑hosted by Meituan, Innovation Works, Sogou and Meitu, launched with over 3 million RMB in prizes, featured two flagship tracks—fine‑grained restaurant review sentiment analysis and autonomous‑driving visual perception—offering massive new datasets, multi‑task learning challenges, and concrete applications that illustrate how AI can reshape everyday services.

AI competitionDatasetMeituan
0 likes · 12 min read
Inside the 2018 AI Challenger: Datasets, Tracks, and Real‑World Impact
MaGe Linux Operations
MaGe Linux Operations
Jan 20, 2018 · Fundamentals

Python Cheat Sheet: Image Processing, API Calls, Data Mining, and Automation Scripts

This guide compiles essential Python snippets for tasks such as image manipulation with Pillow, video downloading via youtube‑dl, inspecting request objects, accessing NetEase Cloud Music, retrieving financial data with Tushare, running Docker‑based vulnerability labs, querying Beijing bus real‑time info, extracting articles with Goose, performing sentiment analysis, generating fake user agents, and more.

Sentiment Analysisdata-processingweb-scraping
0 likes · 13 min read
Python Cheat Sheet: Image Processing, API Calls, Data Mining, and Automation Scripts
iQIYI Technical Product Team
iQIYI Technical Product Team
Dec 15, 2017 · Artificial Intelligence

Sentiment Classification of iQIYI User Comments: Model Selection, Feature Engineering, and Online Deployment

The team built a lightweight three‑class sentiment classifier for iQIYI user comments using a linear‑kernel SVM with high‑dimensional bag‑of‑words features and an expanded ~100k word lexicon, achieving over 96% accuracy across domains, and deployed it as a Spring Boot PMML service with zero‑downtime refresh, while planning GBDT‑enhanced features and word‑embedding optimizations.

DeploymentNLPSentiment Analysis
0 likes · 13 min read
Sentiment Classification of iQIYI User Comments: Model Selection, Feature Engineering, and Online Deployment
Qunar Tech Salon
Qunar Tech Salon
Aug 21, 2017 · Artificial Intelligence

Tourism Comment Text Mining and Recommendation System Using NLP and Big Data

This article presents a comprehensive NLP‑driven text‑mining workflow for tourism comment data, covering data cleaning, word2vec training, keyword extraction, sentiment analysis, ranking, and a lightweight architecture that enables fast, accurate recommendation of scenic spots for users.

NLPSentiment Analysismachine learning
0 likes · 5 min read
Tourism Comment Text Mining and Recommendation System Using NLP and Big Data
Meitu Technology
Meitu Technology
Apr 6, 2017 · Artificial Intelligence

Meitu Internet Technology Salon: AI and Machine Learning Applications in Practice

The fourth Meitu Internet Technology Salon showcased practical AI and machine learning uses, highlighting Meipai’s text‑anti‑spam, hot‑topic detection, sentiment analysis and personalized video search, while Baidu demonstrated ML‑driven business intelligence tools for multi‑source data mining, user profiling, and intelligent enterprise and HR management.

Business IntelligenceSentiment Analysisanti-spam
0 likes · 7 min read
Meitu Internet Technology Salon: AI and Machine Learning Applications in Practice
Big Data and Microservices
Big Data and Microservices
Mar 30, 2016 · Industry Insights

How Text Mining is Transforming the Securities Industry: Trends and Challenges

This article examines the rapid growth of structured and unstructured data in the securities sector, outlines text mining fundamentals, explores key algorithms and tools, and analyzes current industry services, investment communities, and professional solutions while highlighting existing challenges and future opportunities.

Big DataSentiment Analysisindustry insight
0 likes · 32 min read
How Text Mining is Transforming the Securities Industry: Trends and Challenges