Natural Language Processing

TalentServe

?By Jagadeep Kumar K

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Introduction:

Natural language processing (NLP) is a machine learning technology that gives computers the ability to interpret, manipulate, and comprehend human language. Organizations today have large volumes of voice and text data from various communication channels like emails, text messages, social media newsfeeds, video, audio, and more. They use NLP software to automatically process this data, analyze the intent or sentiment in the message, and respond in real time to human communication.

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Why is NLP important?

Natural language processing (NLP) is critical to fully and efficiently analyze text and speech data. It can work through the differences in dialects, slang, and grammatical.

???? Process, analyze, and archive large documents

???? Analyze customer feedback or call center recordings

???? Run chatbots for automated customer service

???? Answer who-what-when-where questions

???? Classify and extract text

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How is NLP used?

Natural Language Processing (NLP) allows machines to break down and interpret human language. It’s at the core of tools we use every day – from translation software, chatbots, spam filters, and search engines, to grammar correction software, voice assistants, and social media monitoring tools.

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Which tool is used for NLP?

1.??? Gensim

2.??? SpaCy,

3.??? IBM Watson,

4.??? Natural Language Toolkit (NLTK),

5.??? Monkey Learn,

6.??? Text Blob,

7.??? Stanford Core NLP, and

8.??? Google Cloud Natural Language API.

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Conclusion

In summary, Natural Language Processing (NLP) is super important because it helps computers understand human language better. It’s used in lots of cool stuff like translating languages, figuring out how people feel from what they write, and making helpful chatbots. As we keep improving how it works, NLP will make technology easier to use and help us communicate better online.

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