Natural Language Processing (NLP) is a subfield of Artificial Intelligence that focuses on the interaction between computers and human language. NLP involves the development of algorithms and models that allow computers to understand, interpret, and generate human language. Here are some subtopics on NLP:
- Sentiment analysis: the use of NLP to determine the sentiment or emotional tone of a text, such as positive, negative, or neutral.
- Named entity recognition: the ability of machines to identify and classify named entities in a text, such as people, organizations, and locations.
- Text classification: the process of assigning a document to one or more predefined categories based on its content.
- Text summarization: the ability of machines to generate a shorter version of a longer text, preserving the most important information.
- Machine translation: the use of NLP to translate text from one language to another.
- Question answering: the ability of machines to answer questions posed in natural language.
- Language modeling: the process of predicting the next word in a text based on the previous words.
- Speech recognition: the ability of machines to recognize and transcribe human speech.
- Text-to-speech synthesis: the ability of machines to generate human-like speech from text input.
- Conversational agents: AI-powered bots or virtual assistants that can hold a conversation with humans in natural language.
