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https://github.com/amlanmohanty1/sentiment-analysis-major-project-

Major project on Sentiment Analysis
https://github.com/amlanmohanty1/sentiment-analysis-major-project-

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Major project on Sentiment Analysis

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# Sentiment-Analysis-Major-Project

This is a real world project on Sentiment Analysis which takes in text input from the user and predicts if the sentiment of the text is positive or negative.

# Steps followed in making the project

1. Gathering of data: The amazonreviews dataset from Kaggle was used for this project.

2. Preprocessing of data:
- Lower casing the text
- Expanding contractions
- Removing punctuations and special characters
- Removing stopwords
- Tokenization
- Lemmatization

3. Approach to Sentiment Analysis:
- TFIDF Vectorizer
- Support Vector Machine Model
- Evaluation of model using Accuracy Score, Confusion Matrix, and Classification Report


4. Deployment of Model:

- Creating a web application using Streamlit
- Deploying it using Heroku Cloud Service

The following is the link to the web app:
# https://sent-analysis-app.herokuapp.com/