This is a Python script that analyses sentiment in text data using the VADER (Valence Aware Dictionary and sEntiment Reasoner) sentiment analysis tool from the NLTK library.

• Description
• Installation
• Usage
• Output

The script reads input data from a text file, analyses the sentiment of each text using VADER sentiment analysis, and outputs the sentiment scores and labels to a CSV file.

1. Clone this repository:

git clone https://github.com/Kairos-T/NLTK-Sentiment-Analyser/tree/main
cd NLTK-Sentiment-Analyser

2. Install the dependencies:

pip install -r requirements.txt

Run the script with the following command:

python main.py input_data.txt sentiment_scores.csv

Replace input_data.txt with the name of the input data file, and sentiment_scores.csv with the desired name of the output CSV file.

The script will generate a CSV file containing the sentiment analysis results for each input text. The CSV file will have the following columns:

• Text: The input text.
• Positive: The positive sentiment score.
• Neutral: The neutral sentiment score.
• Negative: The negative sentiment score.
• Compound: The compound sentiment score.
• Sentiment Label: The label indicating the overall sentiment.