Project information

• Category: Classification and analysis
• Tools: Python
• Project URL: Github

Preprocessed 1.6 Million tweets by removing symbols, used nltk library to remove stopwords and implemented stemming of words using nltk library. Embedded text data to numerical using word2vec and tokenized the data using Keras library. Implemented a Neural Network on the train and test set of the data. Achieved an accuracy of 78%.