twitter-sentiment-textblob

Simple web app that fetches information from twitter and uses Textblob to analyze the sentiment of the tweets.

General

This is a simple web based app using the NLP based ML Model Textblob to analyze different posts in Twitter whether or not they are positive, negative, or neutral.

1. Fetches information from twitter
2. Uses Textblob to analyze the text

Machine Model Used

Textblob

TextBlob is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.

Project URL - https://twitter-sentiment-textblob.herokuapp.com/

Steps

Twitter Sentiment Analysis App

1. Choose to search for users or hashtags
2. Select how many pages you would like to fetch information
3. Choose the Different Graphs

UI tool

• Streamlit, https://www.streamlit.io/

Deployed

• Heroku, https://www.heroku.com

Required Files

1. setup.sh
2. Procfile
3. requirements.txt

References

1. JCharis Tech's video on How to deploy Streamlit to Heroku, https://www.youtube.com/watch?v=skpiLtEN3yk&list=PLJ39kWiJXSixyRMcn3lrbv8xI8ZZoYNZU&index=3
2. Textblob, https://textblob.readthedocs.io/en/dev/
3. Computer Science : Twitter Sentiment Analysis Using Python, https://www.youtube.com/watch?v=ujId4ipkBio
4. Twitter Scraper, https://pypi.org/project/twitter-scraper/