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Event extraction is the process of identifying and extracting important events from textual information such as news articles, reports, and social media posts. It is a significant task in natural language processing (NLP), as it can help analysts to gather important insights from a large amount of text. However, it is not an easy task,…
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Information extraction is the process of automatically extracting structured information from unstructured or semi-structured data sources. Unstructured text contains vast amounts of information, but it can be challenging to extract relevant information. Information extraction enables users to quickly and efficiently extract relevant information, making it an essential tool for various applications. Structured information is information…
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Natural Language Processing (NLP) relies heavily on text data that is clean and formatted in a manner that allows for efficient analysis. That’s why text preprocessing techniques are essential for NLP. There are several techniques that one can employ to clean and format text data. The first and most important technique is tokenization. Tokenization involves…
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