In this project, I have analyzed and created a model to sort the tweets based on the words used. I have used Python for this project
In this project of Twitter Sentiment Analysis, by Python.
I have analyzed the data and applied the concepts of Natural Language Processing. The project is done in multiple steps, they are as below:
- Data Cleaning
- Data Preprocessing
- Data Analysis and Visualization
- Data Modeling
FOr improvising the model, I have applied the concepts of tokenization and cleaned the corpus of tweets.
I applied various Machine Learning models, namely, Logistic Regression, Naive Bayes, Support Vector Machine and Random FOrest Classifier.
Each project was also done with Tf-Idf concept also.
The best result were available in Random Forest Classifier with Tf-Idf model.
Submitted by Aarya Brahmane (aaryab)
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