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The GeniSys NLU Engine includes a combination of a custom trained DNN (Deep Learning Neural Network) built using TFLearn for intent classification, and a custom trained MITIE model for entity classification.
Braggi is a Python based Contextual Chatbot Framework, which hopes to integrate all the necessities for a great chatbot framework, to satisfy both enterprise and general audiences alike. Development still underway, more features on the way 😄
Sentiment analysis, analyzing user’s textual reviews, to perform a binary classification task (positive or negative mood). Designed a machine learning pipeline able to achieve an F1 score of 96.7% on unseen reviews.
Are you feeling bored? Well never again because! Our little digital friend Sophie is here for you to talk. Ask her questions, tell her about yourself and she will listen and interact with you always.
This repository contains two Python scripts for Natural Language Processing (NLP) tasks and text summarization, as well as a requirements.txt file specifying the necessary dependencies.
An implementation of an Information Retrieval System that indexes documents and matches queries using vector space models (Jaccard, Cosine, Scalar), boolean model, and probabilistic model (BM25).
A simple search engine built using Python 3.11 that implements TF-IDF weighting, page ranking, and cosine vector similarity, and utilizes NLTK libraries for tokenization and stemming.
This repository contains Python code for text classification and analysis of e-commerce sales data. The script processes textual descriptions of products and categorizes them into predefined categories using a Naive Bayes classifier. It also includes various analysis and visualization methods to explore the dataset.