mikeroyal/NLP-Guide
Natural Language Processing (NLP). Covering topics such as Tokenization, Part Of Speech tagging (POS), Machine translation, Named Entity Recognition (NER), Classification, and Sentiment analysis.
This guide helps developers understand and implement Natural Language Processing (NLP) techniques. It provides resources on tokenization, sentiment analysis, machine translation, and named entity recognition. The guide is intended for developers who want to integrate NLP capabilities into their applications and build systems that can understand and process human language.
112 stars. No commits in the last 6 months.
Use this if you are a software developer or data scientist looking to learn about or implement NLP functionalities like text analysis, sentiment scoring, or language translation into your projects.
Not ideal if you are a non-technical user seeking a ready-to-use application for text analysis or an academic researcher looking for advanced theoretical NLP concepts.
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Python
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Jan 04, 2024
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