Word Analyser is a web app developed in Python and Django that analyzes given text.
The application analyzes the following values in the given text:
- Total number of characters
- Total number of sentences
- Total number of words
- Number of words not evaluated (like "the", "and", "but" words)
- Words with a positive meaning
- Negative meaning words
- Words that do not have a positive or negative meaning
- Words sorted by frequency of use (except words not evaluated)
Papers about sentiment words :
- Minqing Hu and Bing Liu. "Mining and Summarizing Customer Reviews." Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2004), Aug 22-25, 2004, Seattle, Washington, USA,
- Bing Liu, Minqing Hu and Junsheng Cheng. "Opinion Observer: Analyzing and Comparing Opinions on the Web." Proceedings of the 14th International World Wide Web conference (WWW-2005), May 10-14, 2005, Chiba, Japan.
http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html