TextBlob
Python library for text analysis and sentiment evaluation.
Free
Kashgari
Free planCreate accurate text classification models with minimal expertise.
Pricing
Free
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Kashgari is a framework for building models that classify and label text. By using advanced methods like transfer learning, it improves the accuracy of these models.
It incorporates popular embedding techniques such as Word2Vec, BERT, and GPT2, which help capture the meaning and context of words.
Users can automate tasks like sentiment analysis and document categorization, making their work more efficient.
Kashgari is designed to be user-friendly, even for those without a deep background in Natural Language Processing.
keras, it is open-source and supported by a community, allowing for easy integration into various applications.
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