How does English NLP work?
- Tokenization. Tokenization is the process of breaking text into individual tokens or words, which helps in further analysis and processing of the text.
- Sentiment Analysis. Sentiment analysis involves determining the emotional tone behind a series of words, helping to understand the sentiment expressed in the text, whether positive, negative, or neutral.
- Named Entity Recognition (NER). NER is a technique that identifies and classifies key entities in text, such as names of people, organizations, locations, and more, facilitating better understanding of the content.
- Part-of-Speech Tagging. Part-of-speech tagging assigns grammatical categories to each word in a sentence, helping to understand the syntax and structure of the text.
