Annotated Bangla Natural Language Processing (BNLP) by using python or machine learning.

This paper offers a thorough method for creating and assessing Python-based Natural Language Processing (NLP) tools for Bengali language. The study and practice of natural language processing focuses on how computers may be programmed to recognize, comprehend, and manipulate natural language speech or text for practical purposes. The study entails a thorough process for developing and testing NLP tools for the Bangla language that are based on Python and Machine Learning. It centers on the ways in which computers may be taught to perform tasks like Named Entity Recognition, Tokenization, Part-of-Speech (POS) Tagging, and Sentiment Analysis in order to comprehend Bengali text. The study commences with the introduction of a thoroughly annotated corpus that forms the basis for these activities and is intended to encompass a broad spectrum of language situations and structures. The study hopes to encourage future research and development in Bangla NLP by making these tools and resources open-source, encouraging cooperation and creativity. This project aims to aid the larger NLP community by offering a strong basis for applications like machine translation and sentiment analysis on Bangla Language.