情感分析 ( Sentiment Analysis ) 专知荟萃

入门学习

斯坦福大学自然语言处理第七课“情感分析（Sentiment Analysis）” [/235/%E6%96%AF%E5%9D%A6%E7%A6%8F%E5%A4%A7%E5%AD%A6%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86%E7%AC%AC%E4%B8%83%E8%AF%BE-%E6%83%85%E6%84%9F%E5%88%86%E6%9E%90%EF%BC%88sentiment-analysis%EF%BC%89] [/nlp/]情感分类方法简介 [/p/61212b11769a]NLP 笔记 - Sentiment Analysis [//06/01/NLP%20%E7%AC%94%E8%AE%B0%20-%20Sentiment%20Analysis/]斯坦福CoreNLP —— 用Java给Twitter进行情感分析 [/data/1225114906/index.html]TEXT CLASSIFICATION FOR SENTIMENT ANALYSIS – NLTK + SCIKIT-LEARN [//11/22/text-classification-sentiment-analysis-nltk-scikitlearn/]Sentiment Analysis in Python [/sentiment-analysis-python/]Basic Sentiment Analysis with Python [/basic-sentiment-analysis-with-python.html]中文情感分析 (Sentiment Analysis) 的难点在哪？现在做得比较好的有哪几家？ [/question/20700012]

进阶论文

2002

Bo Pang, Lillian Lee, Shivakumar Vaithyanathan. Thumbs up? Sentiment Classification using Machine Learning Techniques. EMNLP, 2002. [/view/efa9391d650e52ea551898e8.html]

Minqing Hu and Bing Liu. Mining and summarizing customer reviews. KDD: 168-177, . [/citation.cfm?id=1014073]

Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, and Manfred Stede. Lexicon-Based Methods for Sentiment Analysis. Computational Linguistics: 37(2), 267-307. . [/citation.cfm?id=1014073]Dmitriy Bespalov, Bing Bai, Yanjun Qi, Ali Shokoufandeh. Sentiment Classification Based on Supervised Latent n-gram Analysis. Proceedings of the Conference on Information and Knowledge Management, . [/citation.cfm?id=2063576.2063635]

Bing Liu. . Sentiment analysis and opinion mining. In Synthesis lectures on human language technologies, 1-167. [/download/kevin_done_register/6750185]

Simpler is better? Lexicon-based ensemble sentiment classification beats supervised methods. [https://www.cs.rpi.edu/szymansk/papers/C3-ASONAM14.pdf]Duyu Tang, Furu Wei, Bing Qin, Ting Liu, Ming Zhou. . Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach. International Conference on Computational Linguistics(COLING). [/anthology/C14-1018]

Sentiment Analysis: mining sentiments, opinions, and emotions 图书 [https://www.cs.uic.edu/~liub/FBS/sentiment-opinion-emotion-analysis.html\]Rie Johnson and Tong Zhang. Effective use of word order for text categorization with convolutional neural networks. In NAACL . [/abs/1412.1058]Rie Johnson, and Tong Zhang. Semi-supervised convolutional neural networks for text categorization via region embedding. In NIPS . [http://pubmedcentralcanada.ca/pmcc/articles/PMC4831869/]Xiang Zhang, Junbo Zhao, and Yann LeCun. Character-level convolutional networks for text classification. In NIPS . [/abs/1509.01626]

Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis. [/1099-4300/18/1/4]Duyu Tang, Furu Wei, Bing Qin, Nan Yang, Ting Liu, Ming Zhou. . Sentiment Embeddings with Applications to Sentiment Analysis. IEEE Transactions on Knowledge and Data Engineering (TKDE). [/research-papers/sentiment-embeddings-applications-sentiment-analysis/]Yafeng Ren, Yue Zhang, Meishan Zhang, and Donghong Ji. . Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word Embeddings. In Proceedings of AAAI. [/ocs/index.php/AAAI/AAAI16/paper/view/11925]Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, Eduard Hovy. . Hierarchical Attention Networks for Document Classification. In NAACL . [/en-us/research/publication/hierarchical-attention-networks-document-classification/]Rie Johnson, and Tong Zhang. Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings. In ICML . [/abs/1602.02373]Alexis Conneau, Holger Schwenk, Loïc Barrault, and Yann Lecun. . Very Deep Convolutional Networks for Natural Language Processing. 1606.01781. [/abs/1606.01781v1]Huimin Chen, Maosong Sun, Cunchao Tu, Yankai Lin, Zhiyuan Liu. Neural Sentiment Classification with User and Product Attention. In EMNLP . [http://nlp.csai./~lzy/publications/emnlp.pdf]Lin Gui, Dongyin Wu, Ruifeng Xu*, Qin Lu, Yu Zhou. Event-Driven Emotion Cause Extraction with Corpus Construction. In EMNLP . [/120b/d71c72f9477dec6b5291c32f73ae4afbf163.pdf]

Tutorial

面向社会媒体的文本情感分析 秦兵 哈尔滨工业大学 .9.16 北京 第六届全国社会媒体处理大会 [/s/1i5qxd1V]文本情绪分类关键技术研究 李寿山 苏州大学，自然语言处理实验室 .9.16 北京 第六届全国社会媒体处理大会 [/s/1pLLsV3d]Affective Computing on Social Media Data 贾珈 - 清华大学 .9.16 北京 第六届全国社会媒体处理大会 [/s/1mhDHrxY]Sentiment Analysis with Neural Network 唐都钰、张梅山 深度学习与情感分析 [/s/1c2NHlNM] [/s/1c2ETG0S]A Short Overview On Sentiment Analysis 黄民烈 清华大学 [/s/1o7XVV0u]LingPipe Sentiment 一个java自然语言处理包 [http://alias-/lingpipe/demos/tutorial/sentiment/read-me.html]

综述

Sentiment analysis and opinion mininghttps://www.cs.uic.edu/~liub/FBS/SentimentAnalysis-and-OpinionMining.pdf~Sentiment analysis algorithms and applications: A survey [/s/1miR4DD2]/science/article/pii/S2090447914000550Sentiment Analysis:A Comparative Study On Different Approaches/profile/Amal_Ganesh/publication/303848210_Sentiment_Analysis_A_Comparative_Study_on_Different_Approaches/links/576a633208aeb526b69b84d7/Sentiment-Analysis-A-Comparative-Study-on-Different-Approaches.pdf文本情感分析 [/ch/reader/create_pdf.aspx?file_no=3832&journal_id=jos\]Opinion Mining and Sentiment Analysis Bo Pang1 and Lillian Lee2 [https://www.cse.iitb.ac.in/~pb/cs626-449-/prev-years-other-things-nlp/sentiment-analysis-opinion-mining-pang-lee-omsa-published.pdf\]

代码

Sentiment TreeBank 斯坦福结构依存情感分析演示 [http://nlp.stanford.edu:8080/sentiment/rntnDemo.html]Sentiment Analysis with Python NLTK Text Classification [http://text-/demo/sentiment/]Vivekn's sentiment model [/vivekn/sentiment/]nltk -sentiment analysis tool, Lexical, Dictionary-based, Rule-based. [/]twitter-sent-dnn Supervised Machine Learning, Deep Learning, Convolutional Neural Network. [/xiaohan/twitter-sent-dnn]

视频教程

斯坦福大学自然语言处理第七课-情感分析 [/nlp/] ### 数据集Stanford Sentiment Treebank [https://nlp.stanford.edu/sentiment/code.html]Amazon product dataset [http://jmcauley.ucsd.edu/data/amazon/]IMDB movies reviews dataset [http://ai.stanford.edu/~amaas/data/sentiment/\]Sentiment Labelled Sentences Data Set [https://archive.ics.uci.edu/ml/datasets/Sentiment+Labelled+Sentences]

领域专家

黄民烈 [http://www./publish/cs/4616//1122151220708543803/1122151220708543803_.html\]李寿山 [http://nlp./~lishoushan/\]Bing Liu [https://www.cs.uic.edu/~liub/\]John Blitzer [/]万小军 [/site/wanxiaojun1979/]唐都钰 哈尔滨工业大学 [/en-us/research/people/dutang/]