PROJECT NAME

Sentimental Analysis on National Education Policy 2020 (SANEP2020)

DOMAIN

Machine Learning

ABOUT PROJECT

Since Twitter is one of the most comprehensive sources of live, public conversation worldwide, this project uses the dataset containing the tweets related to people's opinions on National Education Policy 2020. This program will be capable of parsing the tweets fetched from twitter and understanding the text’s sentiments, like its polarity and subjectivity. This project aims to figure out the general opinion on NEP 2020 and which may be used to make better strategies and plan for the future.
We will be using various supervised learning algorithms and apply the best fit to train our model.

DATASET

https://www.kaggle.com/rishabh6377/india-national-education-policy2020-tweets-dataset

REFERENCES

https://towardsdatascience.com/sentiment-analysis-on-the-tweets-about-distance-learning-with-textblob-cc73702b48bc

https://www.kaggle.com/rishabh6377/sentiment-analysis-using-textblob-suggestions

https://www.w3schools.com/

https://planspace.org/20150607-textblob_sentiment/

CONTENT

• Data Preprocessing
• Data Visualization
• Machine Learning Models (Bernoulli Naive Bayes, XGBoost, LogisticRegression, DecisionTree)