• Janvi Sheta
• Barkha Wadhvani
• Janvi Savani

Manual assessment of textual information on the internet is now not possible because to the huge increase in the number of these publications on the internet. Keywords and keyword phrases are very useful for quickly and efficiently evaluating massive volumes of information for internet searches, and they give a summary of the material. A document's keywords are a group of descriptive words that provide prospective readers with the most frequently used and important words and expressions from the text. Keyword extraction is widely used in computer science, notably in information extraction and processing natural language. In recent years, many keyword extraction techniques have developed for the English language. However, it is still a new method for Indian regional languages, and development is too sluggish. This study provides a model for extractive summarization in Gujarati using the TF-IDF approach.

Keyword Extraction, Natural Language Processing, Text Summarization, Unsupervised learning, Gujarati Language

"Automatic Keyword Mining Model for Gujarati Text", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.f70-f75, February-2023, Available :http://www.jetir.org/papers/JETIR2302508.pdf

"Automatic Keyword Mining Model for Gujarati Text", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppf70-f75, February-2023, Available at : http://www.jetir.org/papers/JETIR2302508.pdf