Tagged articles

NLP

530 articles · Page 6 of 6

Jul 2, 2018 · Artificial Intelligence

Overview of Sogou Information Feed Recommendation Algorithms

This article summarizes Sogou's information‑feed recommendation system, covering the architecture from data collection and NLP processing to recall, ranking, and feedback, and detailing the classification, tagging, keyword extraction, and various recall and ranking models such as FastText, TextCNN, collaborative filtering, and wide‑and‑deep learning.

NLPRankingSogou

0 likes · 14 min read

Overview of Sogou Information Feed Recommendation Algorithms

Alibaba Cloud Developer

May 31, 2018 · Artificial Intelligence

How Alibaba’s AI Reviews 600 Contracts in One Second with Perfect Accuracy

Alibaba’s AI-powered contract diagnosis system can analyze 600 online agreements in a single second, achieving 100% issue detection accuracy by combining domain-specific phrase mining, knowledge graphs, specialized word embeddings, and a hybrid deep‑learning plus rule‑based pipeline.

AIContract ReviewLegalTech

0 likes · 10 min read

How Alibaba’s AI Reviews 600 Contracts in One Second with Perfect Accuracy

MaGe Linux Operations

Apr 2, 2018 · Backend Development

Build a Python Scraper for Lagou.com to Extract Job Requirements with Baidu NLP

This article demonstrates a compact, runnable Python 3 scraper that fetches job listings from Lagou.com based on a keyword, filters by city and salary, extracts detailed job requirements using XPath, and applies Baidu's free NLP service for word segmentation and part‑of‑speech tagging to reveal key skill terms.

Baidu AIJob DataLagou

0 likes · 15 min read

Build a Python Scraper for Lagou.com to Extract Job Requirements with Baidu NLP

Tencent Cloud Developer

Mar 29, 2018 · Artificial Intelligence

How AI Powers a Smart Ops Bot for Seamless Dev‑Ops Collaboration

This article explains the motivation behind the growing gap between developers and operations, introduces Tencent Cloud's AI‑driven intelligent operations robot, outlines its core features, typical use cases, and dives into the retrieval‑based dialogue system and matching models that enable natural‑language interactions.

AI OpsChatbotNLP

0 likes · 13 min read

How AI Powers a Smart Ops Bot for Seamless Dev‑Ops Collaboration

Baobao Algorithm Notes

Mar 25, 2018 · Artificial Intelligence

How to Crush the Kaggle Toxic Comment Challenge: Data Prep, Models, and Ensemble Secrets

This article breaks down the Kaggle toxic comment classification competition, detailing thorough data cleaning, advanced word‑vector techniques, pseudo‑labeling, BPE tokenization, diverse neural models and ensemble strategies, and shares practical insights and pitfalls from the author's nine‑month competition journey.

BPEData preprocessingKaggle

0 likes · 9 min read

How to Crush the Kaggle Toxic Comment Challenge: Data Prep, Models, and Ensemble Secrets

MaGe Linux Operations

Mar 22, 2018 · Artificial Intelligence

Mapping Character Relationships in 'Heavenly Sword and Dragon Slaying' with Jieba, Word2Vec & NetworkX

This article demonstrates how to combine Jieba segmentation, Word2Vec embeddings, and NetworkX graph visualization to extract and analyze character relationships from the Chinese novel "Heavenly Sword and Dragon Slaying," detailing data preparation, model training, entity matrix construction, and network graph generation.

Graph VisualizationNLPPython

0 likes · 10 min read

Mapping Character Relationships in 'Heavenly Sword and Dragon Slaying' with Jieba, Word2Vec & NetworkX

Tencent Cloud Developer

Mar 21, 2018 · Artificial Intelligence

Abusive Comment Detection Using TextCNN: A Strategy + Algorithm Approach

The article proposes a hybrid approach that first filters blacklist words and then classifies suspicious comments with a character-level TextCNN, achieving around 89% precision and 87% recall, demonstrating that simple convolutional networks outperform keyword filters and RNNs for short, noisy abusive Chinese text.

Abusive Comment DetectionDeep LearningNLP

0 likes · 10 min read

Abusive Comment Detection Using TextCNN: A Strategy + Algorithm Approach

Meituan Technology Team

Mar 8, 2018 · Artificial Intelligence

Interview with Ren Dengjun: From NLP Research to Advertising Tech Leadership at Meituan

Ren Dengjun, a Meituan Dianping tech leader, recounts her shift from NLP research at Northeastern to industry roles at Toshiba, Alibaba, and Youyi, now heading Meituan’s location‑based advertising platform, while sharing insights on leadership, gender bias, and balancing technical and managerial challenges.

MeituanNLPRen Dengjun

0 likes · 17 min read

Interview with Ren Dengjun: From NLP Research to Advertising Tech Leadership at Meituan

Baobao Algorithm Notes

Feb 28, 2018 · Artificial Intelligence

Mastering Text Classification: From TF‑IDF to Word Embeddings and Deep Learning

This article provides a comprehensive guide to text classification, covering traditional pipelines, bag‑of‑words and TF‑IDF features, dimensionality‑reduction techniques, word‑embedding models such as GloVe, word2vec and fastText, and modern deep‑learning architectures like CNN, RCNN and HAN.

CNNDeep LearningNLP

0 likes · 9 min read

Mastering Text Classification: From TF‑IDF to Word Embeddings and Deep Learning

Huawei Cloud Developer Alliance

Jan 16, 2018 · Artificial Intelligence

How to Build a Scalable Spark-Based Text Sentiment Analysis System

This article walks through constructing a Spark-powered text sentiment analysis pipeline—from crawling movie reviews, preprocessing and feature extraction with jieba and TF‑IDF, to training Naive Bayes and SVM classifiers—while discussing Spark's advantages and ways to improve model accuracy.

Big DataNLPPython

0 likes · 19 min read

How to Build a Scalable Spark-Based Text Sentiment Analysis System

Qunar Tech Salon

Jan 10, 2018 · Artificial Intelligence

An Introductory Overview of Natural Language Processing

Natural Language Processing, a branch of AI, is traced from its Turing origins through early rule‑based methods, statistical and deep‑learning paradigms, covering lexical analysis, syntax, semantics, knowledge graphs, and current applications, highlighting historical shifts, challenges, and future research directions.

Artificial IntelligenceLanguage ProcessingNLP

0 likes · 22 min read

An Introductory Overview of Natural Language Processing

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

Alibaba Cloud Developer

Nov 25, 2017 · Artificial Intelligence

How Alibaba’s NLP Team Dominated Global Entity Extraction and Chinese Grammar Competitions

Alibaba’s iDST NLP team, led by Dr. Si Luo, clinched the top spot in both the KBP2017 English entity discovery challenge and the 2017 Chinese Grammatical Error Diagnosis contest, showcasing cutting‑edge deep‑learning techniques, massive multilingual processing capacity, and innovative transfer‑learning methods.

AI competitionsAlibabaDeep Learning

0 likes · 9 min read

How Alibaba’s NLP Team Dominated Global Entity Extraction and Chinese Grammar Competitions

MaGe Linux Operations

Nov 22, 2017 · Artificial Intelligence

Top 15 Python Libraries Every Data Scientist Should Master in 2017

This article surveys the most essential Python packages for data science in 2017, covering core scientific computing, data manipulation, visualization, machine learning, deep learning, natural language processing, and web scraping, and explains why each library remains indispensable for modern analysts.

NLPPythondata science

0 likes · 13 min read

Top 15 Python Libraries Every Data Scientist Should Master in 2017

Efficient Ops

Nov 21, 2017 · Artificial Intelligence

How AI Transforms Efficient Operations: Insights and Practices

This article summarizes Zhao Jiunchun's conference talk on leveraging AI and machine learning—covering pattern extraction, supervised learning, loss functions, classification algorithms, NLP, and real-world Tencent ZhiYun case studies—to enhance operational efficiency, monitoring, and intelligent automation.

AINLP

0 likes · 6 min read

How AI Transforms Efficient Operations: Insights and Practices

MaGe Linux Operations

Oct 19, 2017 · Artificial Intelligence

Master Python NLP with NLTK: From Installation to Advanced Tokenization

This tutorial introduces natural language processing (NLP) with Python, covering the basics of NLP, popular libraries, NLTK installation, text tokenization, stop‑word removal, stemming, lemmatization, synonym/antonym handling, and multilingual support, all illustrated with clear code examples and visual guides.

LemmatizationNLPNLTK

0 likes · 10 min read

Master Python NLP with NLTK: From Installation to Advanced Tokenization

MaGe Linux Operations

Oct 9, 2017 · Artificial Intelligence

Build a Simple Python Spell Checker Using Bayesian Methods in 21 Lines

Learn how to create a fully functional spell checker in just 21 lines of Python by training a Bayesian model on a large text corpus, generating candidate corrections via edit distance, and selecting the most probable word using probability calculations.

BayesianNLPPython

0 likes · 9 min read

Build a Simple Python Spell Checker Using Bayesian Methods in 21 Lines

iQIYI Technical Product Team

Sep 22, 2017 · Artificial Intelligence

iQIYI NLP Team: Research Topics, Progress, and Applications in Video Services

The iQIYI NLP team applies lexical analysis, knowledge‑graph construction, tag recommendation, query understanding, voice‑assistant semantics, sentiment mining, and box‑office/view‑count prediction—leveraging weakly labeled data, CRF/CNN‑CRF models and deep learning—to enhance video comprehension, recommendation, search and commercial services across the platform.

NLPRecommendation SystemsSpeech Assistant

0 likes · 13 min read

iQIYI NLP Team: Research Topics, Progress, and Applications in Video Services

Hujiang Technology

Aug 24, 2017 · Artificial Intelligence

TensorFlow Implementation of a Simple Bi‑directional LSTM Sentiment Analysis Model

This article demonstrates how to build and train a bi‑directional LSTM sentiment analysis model with TensorFlow, covering data preprocessing, word embedding, model architecture, code implementation, and evaluation results, and discusses potential improvements.

Deep LearningLSTMNLP

0 likes · 9 min read

TensorFlow Implementation of a Simple Bi‑directional LSTM Sentiment Analysis Model

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

Alibaba Cloud Developer

Jul 6, 2017 · Artificial Intelligence

How Alibaba’s Conv‑RNN Boosts Voice Assistant QA and Text Classification

Alibaba’s Tmall Genie X1 showcases a new semantic encoding model called Conv‑RNN that improves intelligent question answering and text classification, achieving state‑of‑the‑art results on benchmark datasets while illustrating the broader impact of semantic encoding on NLP applications.

NLPconv-RNNquestion answering

0 likes · 8 min read

How Alibaba’s Conv‑RNN Boosts Voice Assistant QA and Text Classification

Qunar Tech Salon

Jul 3, 2017 · Artificial Intelligence

Interview with Dr. Lv Zhengdong on Neural‑Symbolic Systems and the Future of Natural Language Understanding

Dr. Lv Zhengdong discusses the challenges of true language understanding, the integration of symbolic reasoning with neural networks, recent advances in neural‑symbolic models, and the practical prospects of NLP in domains such as law and finance, emphasizing the need for hybrid approaches.

AI researchNLPNeural-symbolic

0 likes · 16 min read

Interview with Dr. Lv Zhengdong on Neural‑Symbolic Systems and the Future of Natural Language Understanding

MaGe Linux Operations

Jun 27, 2017 · Artificial Intelligence

Top Python Libraries Every Data Scientist Should Master

This article reviews the most essential Python libraries for data science—including NumPy, SciPy, Pandas, Matplotlib, Seaborn, Bokeh, Plotly, Scikit‑Learn, TensorFlow, Keras, NLTK, Gensim, Scrapy and Statsmodels—highlighting their core features, GitHub activity and typical use cases.

NLPdata-sciencelibraries

0 likes · 12 min read

Top Python Libraries Every Data Scientist Should Master

Qunar Tech Salon

Apr 27, 2017 · Artificial Intelligence

LSTM‑Jump: Learning to Skim Text for Faster Sequence Modeling

The paper introduces LSTM‑Jump, a reinforcement‑learning‑trained LSTM variant that can dynamically skip irrelevant tokens, achieving up to six‑fold speed‑ups over standard sequential LSTMs while maintaining or improving accuracy on various NLP tasks such as sentiment analysis, document classification, and question answering.

LSTMNLPreinforcement learning

0 likes · 7 min read

LSTM‑Jump: Learning to Skim Text for Faster Sequence Modeling

MaGe Linux Operations

Apr 25, 2017 · Artificial Intelligence

Top Python and Java NLP Tools for Chinese Text Processing

This article surveys a wide range of natural language processing libraries—including Python packages like NLTK and spaCy, Java frameworks such as OpenNLP and StanfordNLP, and specialized Chinese tokenizers like IKAnalyzer, ICTCLAS, and FudanNLP—detailing their features, usage, and setup steps for Chinese text analysis.

ChineseIKAnalyzerJava

0 likes · 14 min read

Top Python and Java NLP Tools for Chinese Text Processing

21CTO

Feb 2, 2017 · Artificial Intelligence

Build Your Own Chatbot with Microsoft Bot Framework and LUIS – A Step‑by‑Step Guide

This tutorial explains how to create, test, and enhance a multi‑platform chatbot using Microsoft Bot Framework, LUIS for natural language processing, and Azure services, guiding beginners from Node.js basics to real‑world bot scenarios.

AIChatbotLUIS

0 likes · 4 min read

Build Your Own Chatbot with Microsoft Bot Framework and LUIS – A Step‑by‑Step Guide

Alibaba Cloud Developer

Sep 20, 2016 · Artificial Intelligence

What ACL 2016 Tutorials Reveal About the Future of NLP and Deep Learning

The article reviews ACL 2016’s tutorial program, summarizing key talks on computer‑aided translation, neural machine translation, semantic sense representation, short‑text understanding, and highlights selected papers on multimodal translation, coverage modeling, and language‑vision grounding, illustrating deep learning’s impact on NLP research.

ACL 2016Deep LearningMachine Translation

0 likes · 13 min read

What ACL 2016 Tutorials Reveal About the Future of NLP and Deep Learning

ITPUB

Dec 23, 2015 · Artificial Intelligence

How Computers Turn Words into Numbers: A Beginner’s Guide to Tokenization and Vector Similarity

This article explains how natural language processing stores word meanings as numeric vectors, builds token dictionaries, represents sentences as binary vectors, and uses dot‑product calculations to measure similarity, illustrating concepts with simple examples and highlighting current limitations and future directions.

Artificial IntelligenceNLPtokenization

0 likes · 7 min read

How Computers Turn Words into Numbers: A Beginner’s Guide to Tokenization and Vector Similarity

Architects Research Society

Sep 27, 2015 · Artificial Intelligence

Digitizing Handwritten Notes with the AlchemyLanguage API and Noteable Demo

This tutorial explains how to use IBM's AlchemyLanguage API within the Python‑based Noteable application to convert scanned handwritten notebook pages into searchable, editable text by leveraging concept tagging and taxonomy services on Bluemix.

AlchemyAPIIBM BluemixNLP

0 likes · 3 min read

Digitizing Handwritten Notes with the AlchemyLanguage API and Noteable Demo

Baidu Tech Salon

Jul 2, 2014 · Artificial Intelligence

Baidu Kaoba: A Case Study of Natural Language Processing and Semantic Analysis

In a June 28 presentation at Baidu’s 51st Technology Salon, senior NLP researcher Zhao Shiqi showcased Baidu Kaoba—a conversational search tool for college admissions—illustrating how inference‑based rewriting, ellipsis completion, concept clarification and interactive generation enable deep, domain‑specific semantic understanding that he predicts will power future internet services.

AIBaiduConversational Search

0 likes · 6 min read

Baidu Kaoba: A Case Study of Natural Language Processing and Semantic Analysis