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Machine Learning approach to Bengali Corpus POS (Parts of Speech) Tagging using BNLP (Bengali Natural Language Processing) Toolkit. This is the Minor Project Presentation at Heritage Institute of Technology under the mentorship of Prof. Sandipan Ganguly.
This Chatbot completed with combination of Deep Learning, Natural Language Toolkit(NLTK), PyTorch mode. And highest accuracy achieved here.
Sentiment Analysis of YouTube Comments Using Natural Language Processing
Leverage the power of Keras to build and train state-of-the-art deep learning models
Mindalism is a web application that enables the user to transcribe their thoughts onto our digital journals through the power of Speech-to-Text capabilities. We not only enable them to record their thoughts, experiences, and feelings, but we catalog the history so users can revisit memories, and receive AI-generated summaries and analytics
Experiments with NLTK - Natural Language Toolkit.
I leveraged an algorithmic approach for document classification and document clustering. Various models have been trained for document classification and they all have been evaluated using performance metrics followed by tuning of the model hyper-parameters to reach the most accurate classification. Additionally, a model has been trained for document clustering, which is followed by a dimensionality reduction technique to visualize the document clusters in 2D space.
learning python day 16
Coursera specialization taught by University of Michigan. Expected completion Date July 2023
Practice of the book about the Python's module Natural Language Toolkit
Natural Language Processing using Python
In this repository I explained the basics of Natural Language Toolkit.
An interactive chatbot that engages with users in real-time conversations, providing personalized responses. With its advanced Natural Language Processing (NLP) capabilities, it can interpret user queries accurately. Created for websites catering to a small niche.
email spam detector is built using python and machine learning