Project Title:

Twitter Sentiment Analysis Using Natural Language Toolkit, VADER Sentiment, Data Visualization and Analysis Libraries.

Project Members:

1. Owais Azad (CSC-20F-139).

2. Syed M. Aaliyan Tarique (CSC-20F-171).

3. Muhammad Shafiq Ashfaq (CSC-20F-118).

Libraries and Model:

• NLTK
• SentimentIntensityAnalyzer
• Pandas
• NumPy
• Metplotlib
• Seaborn
• warning
• tqdm

DATASET:

ImranKhanPTI.csv file contain Ex. Prime Minister Tweets Data from 2018 to 2022.

MAIN SOURCE CODE:

"sentiment-analysis-with-nltk.ipynb" File contain main source code that take dataset and analyse it either the tweet is Positive, Neutral, or Negative.

TWitter API:

twitter_tweet.py file contain tweet API with .env file for getting tweets data by user name.

Steps to setup project

1. Clone the repo

2. Install Python

3. Create and activate virtual enviroment in project folder

virtualenv venv

activate venv in linux

source venv/bin/activate

activate venv in windows

venv/Scripts/activate

4. Install requirements.txt

pip install -r requirements.txt

Steps to use project

1. Place your Dataset (.csv file) and sentiment-analysis-with-nltk.ipynb file in same Folder

3. Make sure that dataset have same column name.

4. Run

python sentiment-analysis-with-nltk.ipynb

DATA VISUALIZATION OF IMRAN KHAN TWEETS: