HomeSentiment AnalysisGetting Started with Sentiment Analysis and Opinion Mining
Deep Learning Specialization on Coursera

According wikipedia, Sentiment Analysis is defined like this:

Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials.

Generally speaking, sentiment analysis aims to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. The attitude may be his or her judgment or evaluation (see appraisal theory), affective state (that is to say, the emotional state of the author when writing), or the intended emotional communication (that is to say, the emotional effect the author wishes to have on the reader).

Now let’s getting started with sentiment analysis and opinion mining with the following resources.

1. Sentiment Analysis by wikipedia:

The first thing to know Sentiment Analysis is certainly from wikipedia, this is a smart start.

2. Opinion mining and sentiment analysis by Bo Pang and Lillian Lee

3. Deeply Moving: Deep Learning for Sentiment Analysis by Stanford

4. Opinion Mining, Sentiment Analysis, and Opinion Spam Detection

5. Creating a Sentiment Analysis Model by Google

6. Natural Language Processing Open Course by Dan Jurafsky and Christopher Manning from Stanford and Coursera, the Sentiment Analysis Slides can download here: Sentiment Analysis Slide

7. Sentiment Symposium Tutorial by Sentiment Analysis Symposium, San Francisco, November 8-9, 2011

8. Sentiment Analysis and Opinion Mining Book/ebook by Bing Liu

9. Sentiment Analysis and Opinion Mining Tutorial by Bing Liu from AAAI-2011 Tutorial

10. Sentiment Analysis Sites´╝Ü

11. Sentiment Tutorial by LingPipe

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