This module focuses on the different methodologies and tools for Natural Language Processing. This involves retrieving, pre-processing, and processing of data.
- Retrieving Training Data
- Data Cleaning
- Buffering Data
- Preprocessing: Tokenization
- Preprocessing: Tokens to Vectors
- Building a Database
- Sentiment Analysis (TexBlob Sentiment – Polarity & Subjectivity)
- POS Tagging
- Stemming and Lemmatization
- Named Entity Recognition
- Semantic Analysis
- Bigrams and Trigrams
- Building a Neural Machine Translation Model
- Interacting with our Chatbot
Lifetime
