ntlk

There are 55 repositories under ntlk topic.

  • GeniSysAI/NLU

    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.

    Language:Python39619

  • TheRayFitzgerald/Annie

    A bespoke NLP Chatbot trained using a corpus of Reddit data.

    Language:Python12113

  • ikshitiz/Cryptocurrency-Twitter-Sentiment-Analysis

    Sentiment analysis on tweets analyzing any trade-able asset (Cryptocurrency) using Machine Learning and statistical classification model

    9113

  • RGGH/Sentiment-Analysis-Flask-API

    This sentiment analysis API uses Flask-restful and provides a positive or negative sentiment response to input query.

    Language:Python8007

  • SushritPasupuleti/Braggi-A-Python-Based-Contextual-Chatbot-Framework

    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 😄

    Language:Python7502

  • cameres/TwitterBrandManagement

    A sentiment analysis and web-sockets application with twitter's streaming api

    Language:JavaScript5304

  • robertofranceschi/Sentiment-Analysis-on-Tripadvisor-reviews

    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.

    Language:Python5100

  • luisgcenci/Tweetmarket

    Not your normal social media market!

    Language:Python4302

  • Murithijoshua/Rongo-Search-Engine

    This is an information retrieval engine running on the shoulders of ntlk library.

    Language:Python4200

  • alex-t-reed/NLP-Example

    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.

    Language:Python3104

  • annu12340/sophie-the-bot

    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.

    Language:Python2211

  • kaymal/NLP

    Natural Language Processing pipeline including fundamentals, feature engineering and modeling.

    Language:Jupyter Notebook2203

  • Magus4450/Movie-Recommendation-System-using-Content-Based-Filtering

    A movie recommender system that uses SBERT for embedding and cosine similarity for recommendations.

    Language:Python2100

  • sagarparikh2013/Amazon-Product-Reviews-Exploratory-Analysis

    Exploratory Analysis of Amazon Product Reviews Dataset comprising of various categories spanning over 14 years

    Language:HTML2200

  • alex-t-reed/Text-Summarizer-Sentiment-Analysis

    The Text Summarizer Web Application utilizes Python, Flask, NLTK, and Bootstrap for creating concise summaries from long texts. No frills, just an efficient tool for simplifying complex content.

    Language:HTML1100
  • MACE-Simple-Search-Engine

    cedricdomingo/MACE-Simple-Search-Engine

    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.

    Language:Python1100

  • hafidaso/TV-Shows-Dataset-Analysis-Project

    This project involves comprehensive data analysis and application development using a dataset of approximately 160K TV shows.

    Language:Jupyter Notebook110

  • hossain-sanowar/customer-reviews-topic-modling

    In this study, I utilized the unsupervised approach Kmeans to cluster/group reviews in order to discover major topics/ideas within the sea of text. This applies to all textual evaluations. In this series, I've concentrated on Twitter data of Vodaphone, which is more real-world and sophisticated than evaluations acquired via survey or review forms.

    Language:Jupyter Notebook110

  • Milindi-Kodikara/MugLife

    Which beverage reigns superior? An analysis of the great Tea vs Coffee debate ☕️

    Language:Jupyter Notebook10

  • Mohrezasharifi/Chat-Bot-Using-NLP-Python

    In this repository, the project on NLP-based chatbot that generates responses based on the command given to the system.

    1100

  • mousewanderer/Discord-chat-bot-sample.py

    This is just a discord chat bot sample that runs on python

    Language:Python1200

  • prodseanb/OfficeBot

    OfficeBot is a simple conversational chat bot web app built on Flask and ChatterBot for answering questions regarding office hours.

    Language:CSS1101

  • Turjo7/Bangla-Music-Mood

    Bangla Music Mood Detect Pattern Lab Project

    Language:Jupyter Notebook1210

  • Vieiraanap/analise-sentimentos-eleicoes-2022

    Projeto Estágio Supervisionado

    Language:Jupyter Notebook1100

  • cristinasprogrammingadventure/NLP_Project

    Sentiment Intensity Analysis and other Natural Language Processing procedures applied to texts written by the main politic figures of a small town in Barcelona Area (Catalonia). Find the top-positive, top-neutral and top-negative text, person and party. Analyze trends in time; think how speech trends influence popularity before May 2023 elections.

    0100

  • DSmolin42/Yandex_Practicum_DS

    учебные проекты Яндекс.Практикум "Специалист по Data Science"

    Language:Jupyter Notebook0100

  • DummuMounika/Ecommerce-Sales-Categorization

    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.

    Language:Python0200

  • harmanveer-2546/Sentiment-Analysis-of-Amazon-Fine-Food

    For this project, machine learning algorithms are used on amazon fine food reviews dataset to analyze if the given review is a positive review or a negative review.

    Language:Jupyter Notebook0100

  • manel15279/Intelligent-Information-retrieval-System

    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).

    Language:Python0100

  • MohammedDerouiche/aliExpressReviewsScraper

    Web scraping product reviews data from AliExpress.

    Language:Python0100

  • MTank76/Dobby-The-Chatbot

    Dobby The-Chatbot is a conversational agent developed as a hobby project while exploring Python's NLTK library. Built using the nltk.chat.util module with Chat and reflections, this chatbot simulates a conversation with users based on predefined patterns and responses.

    Language:Jupyter Notebook0100

  • adalbertobrant/wptwBrasil

    piores lugares para se estar na TI , worst place to work in Brasil

    Language:Python20

  • arpy8/ArpitSengar_TaskRound_GDSC_VITB

    Employs the NLTK library to craft Shakespearean Sonnets

    Language:Jupyter Notebook10

  • FoggySmile/NLP_labs

    Лабораторные работы по NLP

    Language:Jupyter Notebook

  • lyndskg/AutoSubFinder

    AutoSubFinder is an innovative coding project that aims to automatically find and download subtitle track files for movies and other videos. The project utilizes web scraping and Natural Language Processing (NLP) techniques to search various subtitle databases and provide accurate and synchronized subtitle tracks for videos.

    20

  • prashver/nlp-driven-video-summarizer-and-insight-tool

    An NLP-powered tool for transcribing, summarizing, and indexing podcast content, with video-to-audio conversion and multilingual support.

    Language:Python20