https://github.com/hevalhazalkurt/word_analyser

A web app developed in Python and Django that analyzes given text mathematically and sentimentally.
https://github.com/hevalhazalkurt/word_analyser

analyzer analyzes content data-analysis django emotion python python3 sentiment sentiment-analyser sentiment-analysis text text-analysis

Last synced: about 1 month ago
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A web app developed in Python and Django that analyzes given text mathematically and sentimentally.

• Host: GitHub
• URL: https://github.com/hevalhazalkurt/word_analyser
• Owner: hevalhazalkurt
• Created: 2019-10-03T17:09:27.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-12-21T11:04:15.000Z (over 5 years ago)
• Last Synced: 2025-01-21T06:10:24.367Z (over 1 year ago)
• Topics: analyzer, analyzes, content, data-analysis, django, emotion, python, python3, sentiment, sentiment-analyser, sentiment-analysis, text, text-analysis
• Language: HTML
• Homepage:
• Size: 7.6 MB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Word Analyser

Word Analyser is a web app developed in Python and Django that analyzes given text.

![](screenshot.gif)

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