https://github.com/mertkahyaoglu/twitter-sentiment-analysis

Twitter Sentiment Analysis For Turkish Language
https://github.com/mertkahyaoglu/twitter-sentiment-analysis

nltk python twitter twitter-sentiment-analysis

Last synced: about 2 months ago
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Twitter Sentiment Analysis For Turkish Language

• Host: GitHub
• URL: https://github.com/mertkahyaoglu/twitter-sentiment-analysis
• Owner: mertkahyaoglu
• Created: 2015-03-03T16:03:19.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2019-06-02T16:22:18.000Z (over 5 years ago)
• Last Synced: 2024-04-14T12:15:00.268Z (9 months ago)
• Topics: nltk, python, twitter, twitter-sentiment-analysis
• Language: Python
• Homepage:
• Size: 118 KB
• Stars: 59
• Watchers: 8
• Forks: 18
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Determine Feelings on Twitter

The aim of the project is to determine how people are feeling when they share something on Twitter. The program classifies only Turkish tweets.

> Check out NodeJS web application [here](https://twitter-sentiment-analysis.now.sh/)

> Slides - [NLTK version](https://slides.com/mertkahyaoglu/twitter-sentiment-analysis), [Weka version ](http://slides.com/mertkahyaoglu/twitter-sentiment-analysis-4)

##Requirements

1. [Twitter Developer Application](https://apps.twitter.com/app/new)

2. [Tweepy Python Library](http://www.tweepy.org/)

3. [NLTK](http://www.nltk.org/)

##Run

`python classify.py`

##Project Development Steps

* Fetch tweets for a specific user :white_check_mark:

* Clean data (remove hashtags and mentioned users) :white_check_mark:

* Label positive and negative tweets :white_check_mark:

* Apply Naive Bayes Classifier algorithm :white_check_mark:

* Test results :white_check_mark: