This module gives an introduction to techniques for computationally processing and understanding natural languages. These techniques are required to prepare human language data into a format that can be readily used by computers.
The techniques we will cover in the practical session are used in preparation of human language into forms that computers can work with more easily.
This Colab demonstrates methods of parsing nautral language to get information about linguistic features such as parts of speech (POS) and named entity recognition (NER). We can derive structure in the language using dependency parsing.
In this Colab we find the relationships between words and sentences.
Try the projector visualisation tool.
Sentiment analysis is used to determine the emotion in language. This Colab demonstrates an approach to analysing sentiment using the Natural Language Toolkit (NLTK).
That last practical activity was great. Sarcastic or not? Try this Colab to train a sarcasm detection model.