sentiment analysis

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.

PythonWeChatdata analysis

0 likes · 12 min read

Rare Earth Juejin Tech Community

May 26, 2024 · Backend Development

Sentiment Analysis of User Comments Using Node.js and OpenAI (AIGC)

This tutorial explains how to combine Node.js with OpenAI's AIGC to build a backend service that reads user comments, sends them to a GPT‑3.5‑turbo model for sentiment classification, and outputs whether the sentiment is positive or negative, complete with setup steps and full source code.

AIGCJavaScriptNode.js

0 likes · 8 min read

Sentiment Analysis of User Comments Using Node.js and OpenAI (AIGC)

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

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.

PythonWeChatWordCloud

0 likes · 14 min read

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.

NLPPythondata preprocessing

0 likes · 6 min read

Python Techniques for Comprehensive Text Data Analysis

Python Programming Learning Circle

Mar 21, 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 text (including word‑cloud and sentiment analysis), and geographic location, presenting the results with visual charts and maps.

Image RecognitionNLPPython

0 likes · 14 min read

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.

GPTPPORLHF

0 likes · 11 min read

Training a Positive Review Generator with RLHF and PPO

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.

PPORLHFlanguage model

0 likes · 10 min read

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.

NLPPretrainingactive learning

0 likes · 10 min read

Sentiment Classification and Topic Clustering for NetEase Cloud Music Comments

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.

User Researchgaming communitylanguage patterns

0 likes · 13 min read

Understanding Western Players' Emotional Expressions in Game Communities

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.

PythonWeChatdata analysis

0 likes · 12 min read

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.

TV dramaaudience segmentationmedia modeling

0 likes · 3 min read

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

Python Programming Learning Circle

Mar 15, 2022 · Artificial Intelligence

Reverse Engineering NetEase Cloud Music API to Scrape Comments and Perform Sentiment Analysis

This article demonstrates how to reverse‑engineer the NetEase Cloud Music web API to extract encrypted parameters, use Python to fetch song comments, and apply SnowNLP for sentiment analysis and word‑cloud visualization, providing a step‑by‑step guide with code examples.

APINetEase MusicPython

0 likes · 20 min read

Reverse Engineering NetEase Cloud Music API to Scrape Comments and Perform Sentiment Analysis

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.

GameOCRPython

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

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.

UGCaspect extractione‑commerce

0 likes · 16 min read

UGC Sentiment Analysis Solutions and Applications in Taobao

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.

ACLInformation ExtractionNatural Language Processing

0 likes · 3 min read

Seq2Path: Generating Sentiment Tuples as Paths of a Tree

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.

UGCdeep learninge‑commerce

0 likes · 16 min read

Python Programming Learning Circle

Jan 12, 2022 · Artificial Intelligence

Building a Streamlit Web Application for NLP Tasks: Sentiment Analysis, Entity Extraction, and Text Summarization

This tutorial demonstrates how to create a lightweight Streamlit web app in Python that lets users select and run common NLP services—sentiment analysis, named‑entity recognition, and text summarization—by integrating libraries such as TextBlob, spaCy, and Gensim, with clear code examples and visual output.

Entity RecognitionNLPStreamlit

0 likes · 13 min read

Building a Streamlit Web Application for NLP Tasks: Sentiment Analysis, Entity Extraction, and Text Summarization

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.

AIBig DataNLP

0 likes · 18 min read

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

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.

BiLSTMMuSe2021Self‑Attention

0 likes · 4 min read

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