avikumart/Natural-language-processing
In this notebook, I am updating NLP notebooks, and projects
This project helps individuals and businesses understand insights from text data, such as customer reviews or news articles. It takes raw text inputs like movie reviews or news descriptions and outputs classifications, such as positive/negative sentiment or news categories. Marketers, customer support analysts, or news reporters would find this useful for automatically organizing and understanding large volumes of text.
No commits in the last 6 months.
Use this if you need to automatically categorize text data, like identifying sentiments in product feedback or classifying news articles by topic.
Not ideal if you require extremely high accuracy on complex, long-sequence text classification problems without leveraging pre-trained, advanced models.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Jun 29, 2023
Commits (30d)
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