This project deals with SMS texts and uses Natural Language Procesing and Deep Learning to clasify the SMS as Spam or NonSpam. Here Preprocessing is done via Python, Pandas and the main neural network code uses Keras library.
The Dataset consists of 5262 instances of text and given type. I already uploaded.
The word vectors that have been used here are of Gensim Word2Vec Model.
Test Accuracy: 86%
Thank You My Friends.