Natural Language Processing (NLP) is a subfield of computer science and artificial intelligence that focuses on the interaction between computers and human language. It involves the development of algorithms and models that can analyze, understand, and generate natural language text or speech.
NLP has become increasingly important in recent years due to the explosion of textual data available on the internet, social media, and other sources.
Challenges on Data-Driven Science will cover the following tasks:
Text Classification: Categorizing text into predefined categories or classes, such as spam detection or sentiment analysis.
Sentiment Analysis: Determining the sentiment or tone of a piece of text, whether it is positive, negative, or neutral.
Machine Translation: Translating text from one language to another, such as Google Translate.
Text Summarization: Automatically summarizing large pieces of text into shorter summaries.
Question Answering: Answering natural language questions posed by users, such as chatbots.
Text Generation: Generating natural language text, such as automated news articles or creative writing.
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