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NLP(Natural Language Process)

The NLP powerhouse of the Oremi personal assistant, revolutionizing interaction through advanced natural language understanding

Generate ALT text (captions for low vision website users or book readers).

Evaluation of various Machine learning models for sentiment analysis You are given the reviews dataset. These are 194439 amazon reviews for cell phones and accessories taken from https://jmcauley.ucsd.edu/data/amazon/ Use the “reviewText” and “overall” fields from this file. The goal is to predict the rating given the review by modeling it as a multi-class classification problem. • Take the first 70% dataset for train, next 10% for validation/development, and remaining 20% for test. • Traditional machine learning methods • Design some good linguistic features. You can start with basic TFIDF features. Use these classifiers: J48 decision trees, SVMs with linear/RBF kernel, logistic regression, xgboost, random forests and report accuracy on test set.

Python package to normalize text for speech-language models using different libraries.

可自行input 客製化內容的pdf檔案，並針對文檔內容作為回答的聊天機器人。 Creating a chatbot that provides specific responses based on certain content.

NLP score system.

Natural Language Processing exercises and projects.

A.I chatbot (written with Python) that uses Natural Language Proccess to understand user's requests, improves and learn with ML and Nuerons Net. Web application (built with React and Flask) as an interface.