Overcoming Common Challenges in Natural Language Processing
Sisense
MAY 26, 2020
In NLP, tokenization is important as the essence of a text can be easily interpreted by analysis of tokens present in it. While training a model for NLP, words not present in the training data commonly appear in the test data. Semantic meaning of words. Another common challenge is the semantic meaning of words.
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