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twitter-sentiment-analysis's Introduction

Twitter Sentiment Analysis

Process of analysing whether a given text is sentimentally Positive, Negative or Neutral is called Sentiment Analysis

US Commerce Department blacklisted Chinese Multinational Technology Company Huawei due to Security concern or may be other relationship issues with Chinese Government.
Analysing this event with following Python libraries from Twitter.

Twitter Scrapper is used to scrape tweets from twitter without signing in and requesting for developers account with informative parameter as Begining Date, Ending Date, Number of Tweets etc.
LangDetect support language detection, to filter language for user convenience & support.
VADER i.e Valence Aware Dictionary and sEntiment Reasoner is a modern usage sentiment analysis tools used escpecially to analyse, obtain social media expression with advanced feature of extracting information from emoji's too.

Results

Dependencies

$ pip install vaderSentiment
$ pip install langdetect
$ pip install twitterscraper==0.2.7
$ pip install matplotlib
$ pip install pandas

Author

  • Prasad Patil

twitter-sentiment-analysis's People

Contributors

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Watchers

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