Parsers

In Data Science and Artificial Intelligence, parsers are software components that analyze and interpret structured or semi-structured data. They are used to extract relevant information from data sources such as web pages, documents, and databases. Parsers can be rule-based or machine learning-based. Rule-based parsers use a set of predefined rules to extract information, while machine learning-based parsers use algorithms to learn from data and improve their performance over time. Parsers are commonly used in natural language processing, where they are used to extract meaning from text data. They are also used in web scraping, where they are used to extract data from web pages. Parsers are an important tool in data processing and analysis, as they allow for the efficient extraction of relevant information from large and complex data sources.
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