https://github.com/vishal-038/twitter_sentiment_analysis
This project focuses on building a machine learning model to perform sentiment analysis on Twitter data. The dataset used for training and testing the model is the Sentiment140 dataset, which is publicly available on Kaggle.
https://github.com/vishal-038/twitter_sentiment_analysis
python
Last synced: over 1 year ago
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This project focuses on building a machine learning model to perform sentiment analysis on Twitter data. The dataset used for training and testing the model is the Sentiment140 dataset, which is publicly available on Kaggle.
- Host: GitHub
- URL: https://github.com/vishal-038/twitter_sentiment_analysis
- Owner: VISHAL-038
- Created: 2024-08-22T10:54:22.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-22T12:49:06.000Z (almost 2 years ago)
- Last Synced: 2025-01-23T07:28:03.691Z (over 1 year ago)
- Topics: python
- Language: Python
- Homepage:
- Size: 88.6 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Twitter Sentiment Analysis Project
This project focuses on building a machine learning model to perform sentiment analysis on Twitter data. The dataset used for training and testing the model is the Sentiment140 dataset, which is publicly available on Kaggle.
# Introduction
Sentiment analysis is a technique used to determine the sentiment expressed in a piece of text. This project leverages machine learning to classify tweets as positive or negative. By analyzing the sentiments of tweets, we can gain insights into public opinion on various topics.
# Dataset
The Sentiment140 dataset is used in this project. It contains 1.6 million tweets, each labeled with a sentiment score:
0: Negative
2: Neutral
4: Positive
The dataset can be found on Kaggle: Sentiment140 Dataset
Installation
To run this project, you need to have Python installed along with the following libraries:
- pandas
- numpy
- scikit-learn
- nltk
- matplotlib
- kaggle