Category: Natural Language Processing Tutorial
Nlp stands for natural language processing. It’s part of artificial intelligence. We have two types of nlp.
- Natural language understanding (NLU)
- Natural language Generation.
Tasks in NLP:
- Tokenizing Sentences and words
- Stop words
- Lemmatizing and Stemming
- Named Entity Recognition
- Pos Tagging
- Chunking
- word2vec
- Corpa
- WordNet
- Text summarization
Applications of NLP:
- Language Models
- Text Classification
- Automatic Text or document Summarization
- Sentiment Analysis
- Machine Language translation
- Speech reorganization
- Questions and Answering
- Caption Generation
NLP libraries:
- NLTK
- OpenNLP
- CoreNLP
- TextBlob
- Gensim
- Spacy
Let’s one by one with examples for NLP Tasks: Now we are working with nltk opensouce library for our examples. You need to download that library to work with nlp taks.