Text classification is simplified as :
- word classification
- sentence classification
- document classification
We try to classify text using most basic methods, most of these methods are not used practically but helps in giving a clear understanding of what is done during classification and lay basics for further exploration.
A dataset is taken for each of the above mentioned cases and classified mainly with the help of nltk in python.
Classification using advanced methods like :
- Word Embeddings (word2vec)