muskanmahajan37 / twitter-sentiment-analysis-1

Twitter Sentiment Analysis

This project is a part of the Data Science Working Community . Other DSC projects can be found at the main GitHub repo.

-- Project Status: [Active]

Project Intro/Objective

The purpose of this project is to use the #tags and other twitter components to analyse the behaviour of the indian citizens towards the rules and schemes of the government and a general inclination towards the overall situation of the lockdown.Generally , we do sentiment analysis of the tweets over the certain period of time and generalize the reaction of people over the twitter.

Partners

• Akshat Anand
• Tejas Chintala

Methods Used

• Understanding the Dataset
• Importing the Libraries
• Reading the Dataset
• Data Preprocessing
• TfidfVectorizer
• Sentiment Analysis
• Visualizations
• WordCloud
• Conclusion

Technologies

• Python
• NLTK
• Textblob
• Pandas, jupyter
• Seaborn
• Matplotlib
• Tableau
• etc.

Project Description

Needs of this project

• dataset
• data exploration/descriptive statistics
• data processing/cleaning
• statistical modeling
• writeup/reporting

Getting Started

1. Clone this repo

     $ git clone https://github.com/cipheraxat/Twitter-Sentiment-Analysis.git
     $ cd Twitter-Sentiment-Analysis
     $ jupyter-notebook
   

2. Data processing/transformation scripts are being kept here
3. Data set in zip format . here

Featured Notebooks/Analysis/Deliverables

• Notebook/Markdown/Slide Deck Title
• Analysis on number of tweets per day
• Analysis on Average Polarity Per Day

Insights

• 
• 

License

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Twitter Sentiment Analysis is Copyright @ 2020 Tejas Chintala and Akshat Anand. It is open project, and may be redistributed under the terms specified in the LICENSE file.

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