Twitter-Sentiment-Analysis

A webapp built using streamlit to display the sentiments of people regarding any events happening in the world by analyzing tweets related to that event.

• It will search for tweets about any topic and analyze each tweet to see whether the emotion is Negtive, Neutral or Positive.
• It also fetches tweets from the profile of the entered username.
• It also shows a word cloud for easy visualization.

What does this webapp do

• Can Fetch upto 10000 Tweets.
• Gives a detailed Analysis of the tweets.
• Gives the most trending #Hashtag, Most used words,Wordcloud and @mentions of the fetched tweets.
• Gives the Overall Sentiment Analysis of the Tweets in form of graph.
• One can download/export the tweets in form of csv file.

Built With

• Python 3.6
• tweepy
• textblob
• matplotlib

final.mp4

How to run the project

1. Clone this repository to your local machine.
2. Install all the libraries mentioned in the requirements.txt file with the command pip install -r requirements.txt
3. Create a file name config.ini
4. Paste the code in config.ini and insert key details taken from here developer.twitter.com

[twitter]
api_key = Your Keys
api_key_secret = Your Keys
access_token = Your Keys
access_token_secret = Your Keys

5. Open your terminal/command prompt from your project directory and run the file app.py by executing the command streamlit run app.py.

What I plan to do next

Make some changes in the UI and also shift it to flask webapp.