• NILESHKUMAR BHIMJIBHAI PARGHI
• Dr. Ramani Jaydeep

Now a day, interaction has been increased using virtual world. By using internet, people without Technical skills are engaged a lot with computer or laptop and Mobile devices and great business has thrived on it. Using chat machines People sends messages to each other but due to lack of English language knowledge they chat with their colleague or friends in local language or write in English language and sometimes it becomes 2 or 3 regional languages also known as a code mixed language. We are representing Intent analysis of code-mixed language using Decision Tree Classification methods to identify real time regional language identifier for E-commerce market to Market Analysis, to Security related work as well as numerous other applications.

Artificial Intelligence, Machine Learning, Code-Mixed Language, Deep Learning, Intent Analysis, Decision Tree Classification

"INTENT ANALYSIS OF CODE-MIXED LANGUAGE USING DECISION TREE CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.e419-e424, May-2025, Available :http://www.jetir.org/papers/JETIR2505517.pdf

"INTENT ANALYSIS OF CODE-MIXED LANGUAGE USING DECISION TREE CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppe419-e424, May-2025, Available at : http://www.jetir.org/papers/JETIR2505517.pdf