Lecture 10 – Text Classification with Bag-of-Words and TF-IDF in NLP
Text classification is one of the most practical skills in Natural Language Processing. Whenever we automatically categorise emails […]
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Lecture 9 – Temporal Representations and Corpus Based Methods in Natural Language Processing
Natural language is deeply tied to time and to real usage in communities. When people describe events, they […]
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Lecture 8 – Sentiment Analysis in Natural Language Processing
Sentiment analysis is one of the most popular and widely deployed applications of Natural Language Processing. Whenever a […]
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Lecture 7 – Representing Meaning and Semantic Roles in Natural Language Processing
So far in this course, most of the focus has been on processing words and sentences at the […]
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Lecture 6 – Deterministic and Stochastic Grammars, CFGs and Parsing in NLP
Language is not just a bag of words. The way words are ordered and grouped gives sentences their […]
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Lecture 5 – Hidden Markov Models and POS Tagging in Natural Language Processing
Many Natural Language Processing tasks can be described as sequence labelling. There is an input sequence of words […]
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