Objective is to perform sentiment analysis, which involves classifying texts or parts of texts into a pre-defined sentiment using Natural Language Toolkit (NLTK) Library to achieve the Natural Language Processing task (NLP).
The dataset consists of sample tweets from the NLTK package for NLP. Step 1 is to preprocess the data with different data cleaning methods. Once the dataset is ready for processing Step 2 involves training a model on pre-classified tweets and use the model to classify the sample tweets into negative, neutral and positives sentiments.