Using python to do a twitter sentiment analysis
Dataset from kaggle: Sentiment140 dataset with 1.6 million tweets
In this project, it is aim to analyze Twitter sentiment analysis Dataset using machine learning algorithms, the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning pipeline involving the use of three classifiers (Logistic Regression, Bernoulli Naive Bayes, and SVM)along with using Term Frequency- Inverse Document Frequency (TF-IDF). The performance of these classifiers is then evaluated using accuracy and F1 Scores.
For data preprocessing, we will be using Natural Language Processing’s (NLP) NLTK library.
Data view:
-Output:
