jiacheng-ye/code-for-nlp-beginner
code for nlp beginner, including Sentiment Analysis, NER, NLI and Language Model.
This project helps developers explore and learn various Natural Language Processing (NLP) techniques. It provides practical code examples for common tasks like understanding sentiment in text, identifying names and places, determining relationships between sentences, and generating text. By examining these examples, developers can see how to build systems that take raw text as input and produce classified sentiments, recognized entities, or coherent new text.
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Use this if you are a developer looking for concrete, runnable code examples to understand fundamental NLP tasks like text classification, named entity recognition, and language modeling.
Not ideal if you are an end-user seeking a ready-to-use tool to perform NLP tasks without writing code or delving into model architectures.
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Python
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Last pushed
Oct 04, 2019
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