“Natural Language Processing” refers to the field concerned with the ability of a computer to understand, analyze, manipulate,
and potentially generate human language.
"natural language toolkit” is the most utilized package for handling natural language processing tasks in Python;
1] Tokenizing.
2] Stemming.
3] lemmatization.
4] Bag of words or Count Vectorizer.
5] TF-IDF.
6] Word2Vec.
7] WordEmbedding.
Nlp folder contains all the essentials, including data cleaning to vectorizing. The Project folder contains a complete project where we use various machine learning model to classify or analyze the data.
1] SMS -Spam Detection.
2] Email Spam Detection.
3] Sentiment Analysis.
4] Stock Sentiment Analysis.
5] Fake News Classifer.
6] Stock Market Prediction And Forecasting Using Stacked LSTM.
7] Chat Bot.
8] Given the abstract and title for a set of research articles, predict the topics for each article included in the test set.
9] Information Extraction with Natural Language Processing.