Offline Gujarati Word Categorization Using Machine Learning Approach

  • Dr. Sheshang D. Degadwala
  • Amit Solanki
  • Dhairya Vyas
  • Arpana Mahajan


The contribution to hand-held gadgets utilizing a traditional console is not a simple to know method for Indian contents thanks to expansive and complicated character sets. Written by hand character acknowledgment is a most ideal arrangement. Written by hand character acknowledgment is increasing very important thought within the region of example coordinative and AI. Named classifications Recognition could be a strategy to discover for a Named field from a record or a picture, carry it to mind and bunch it into demonstrated Entity classifications like Names, Locations, Organizations, Numbers and various classes. The principle motivation behind utilizing Hybrid Feature is that it offers higher execution and may be effectively actual for any dialects. A placing live of labor has been in dire straits some, dialects like English, Greek, and Chinese and then on. nonetheless at constant time a good degree is open for Indian Origin Languages like Hindi, Gujarati, and content and after that forward. As Gujarati isn't only the Indian Language, in any case a language that is most spoken in Gujarat. on these lines, during this examination, we tend to accentuation on proposing a reputation classes primarily based set up for Gujarati Language utilizing Hybrid Feature and Machine Learning Feature.

How to Cite
Degadwala, D. S. D., Solanki, A., Vyas, D., & Mahajan, A. (2019). Offline Gujarati Word Categorization Using Machine Learning Approach. International Journal of Control and Automation, 12, 38 - 45. Retrieved from