There are 3 repositories under naturallanguageprocessing topic.
A comprehensive reference for all topics related to Natural Language Processing
Projects and useful articles / links
Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms
Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models
An attempt to predict next day's stock price movements using sentiments in tweets with cashtags. Six different ML algorithms were deployed (LogReg, KNN, SVM etc.). Main libraries used: Pandas & Numpy
This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI
Using Spacy and NLTK module with Tf-Idf algorithm for text-summarisation. This code will give you the summary of inputted article. You can input text directly or from .txt file, .pdf file or from wikipedia url.
Ambiente de Desenvolvimento Integrado (ADI) contando com um explorador de arquivos, editor de código, compilador e outros.
Document based ChatGPT
Machine translation using the seq2seq model
BookGPTs: Revolutionizing Book Interactions with AI. Create GPTs for any e-book, making technology accessible for all to engage in rich, AI-powered book discussions. No technical expertise required – upload a document and bring your favorite books to conversational life!
This is a Flask backend that allows users to upload a PDF file and receive a simplified and humorous explanation of its contents using OpenAI's GPT-3 API. The application uses NLTK to split the PDF text into smaller chunks to stay within the API's maximum token limit, and PyPDF2 to extract the text from the PDF file.
How to build a chatbot to parse conditional statements
In this project our goal is to acheive the problem of converting audio data into textual data.
A prototype legal text search engine that uses a semantic search algorithm in order to find related keywords and sort the results by relevance.
Various experiments in parsing and natural language processing in the Forth language for the Apple II
This project was done as a part of my internship at Bennet University for in May-June 2020.
This repository contains code for generating blog content using the LLama 2 language model. It integrates with Streamlit for easy user interaction. Simply input your blog topic, desired word count, and writing style to generate engaging blog content.
Sentiment Analysis of Tweets for a renowned shoe brand
WebScrapeSummarizer 🌐✍️: A web tool that fetches and summarizes content from any domain, offering insights in a compact CSV format.
A software designed to read messages to make it convenient for people to go through big messages and understand them easily in an efficient manner.
Sentiment Analysis on Twitter Data . Classifying them based on polarity into positive, negative and neutral Using Classical Machine Learning methods.
The Harmony project
Applications of Embeddings, Machine Translation and Spam Text Classification.
School assignment for text analytics
A project to enhance ontology matching accuracy using Large Language Models (LLMs) like S-BERT.
"Detect sarcasm effortlessly! This Python app uses NLP and ML to analyze text sentiment, distinguishing sarcastic tones. With a user-friendly interface, input any text for real-time sarcasm identification. Achieve accurate results through advanced sentiment analysis techniques and trained models."
training literature bert classification.
FreeFriendlyChatBot is an open-source chatbot framework designed to facilitate the creation of friendly and interactive chatbots. The framework is developed using Python and leverages natural language processing (NLP) techniques to understand and respond to user queries effectively.
This repository provides examples for using the FreeGPT module, a lightweight Python library for integrating GPT (Generative Pre-trained Transformer) capabilities into various applications. These examples demonstrate how to leverage FreeGPT for a range of tasks.
Experience simple Text-to-Speech (TTS) functionality using pyttsx3 module, compatible with various speech engines like NSSpeechSynthesizer, SAPI5, and eSpeak.