Sentiment Analysis resources

Wikipedia: Sentiment analysis (also known as opinion mining) refers to the use of natural language processingtext analysis and computational linguistics to identify and extract subjective information in source materials.php

In 1997, firstly proposed by MIT Professor Rosalind Picard in Effective Computing. html

 

Basic task is classifying the polarity (positive, negative, or neutral). beyond polarity: e.g. emotional states such angry, sad, and happy. Higher: sarcasm?web

 

Application and methodologies:app

  • Product, restaurant, or film review rating prediction.

          Most statistical classification methods ignore the neutral class.ide

  • Use a scaling system, give the words an associated number on a -10 to +10 scale.
  • Another direction is subjective/objective identification. Remove objective sentences improve the polarity classification performance.
  • A more fine-grained analysis model is called the feature/aspect-based sentiment analysis.

 

Chinese Sentiment Dictionary and Resourcesui

Stanford NLP cource on Coursera (Class 7) --> Sentiment Analysis introduced the resources and methods.net

 

Query:rest

Whose sentiment is able to predict the stock movement better? How to find out them?orm

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