Topic: ntlk Goto Github
Some thing interesting about ntlk
Some thing interesting about ntlk
ntlk,piores lugares para se estar na TI , worst place to work in Brasil
User: adalbertobrant
ntlk,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.
User: alex-t-reed
ntlk,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.
User: alex-t-reed
ntlk,This project is part of Udacity's Data Scientist Nanodegree. In it, we use natural language processing (NLP) to analyze messages from real-world disasters for categorization.
User: allsiknowis
ntlk, I developed a Flask application using NLTK and Docker. Within the application, I created a JSON file named intents, which contains various questions and answers. The Chatbot in the application responds to user queries using the data provided in the intents file.
User: amritanshuprashar
ntlk,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.
User: annu12340
ntlk,Employs the NLTK library to craft Shakespearean Sonnets
User: arpy8
Home Page: https://shakespeares-sonnets.streamlit.app/
ntlk,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.
User: cedricdomingo
ntlk,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.
User: cristinasprogrammingadventure
ntlk,Applying natural language processing to understanding the latest sentiment of news articles featuring Bitcoin and Ethereum.
User: davidtstill
ntlk, учебные проекты Яндекс.Практикум "Специалист по Data Science"
User: dsmolin42
ntlk,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.
User: dummumounika
ntlk,Master's Thesis in Natural Language Generation
User: edivadiranatnom
ntlk,Una guía rápida para la limpieza de texto usando la biblioteca NLTK
User: edwight-delgado
ntlk,Лабораторные работы по NLP
User: foggysmile
ntlk,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.
Organization: genisysai
Home Page: https://www.genisys.host/
ntlk,Using text analytics to understand cultural patterns in philosophical texts. Exploring gender, author, region, and time-period differences, and extracting key philosophical concepts.
User: haleyegan
ntlk,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.
User: harmanveer-2546
ntlk,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.
User: hossain-sanowar
ntlk,Sentiment analysis on tweets analyzing any trade-able asset (Cryptocurrency) using Machine Learning and statistical classification model
User: ikshitiz
ntlk,This project implements a small search engine for a subset of ICS websites in the University of California, Irvine. It will create an index file for all the websites and allow users to find the websites they want based on their keywords. It is capable of handling tens of thousands of documents or Web pages under harsh operational constriants and having a query response time under 300ms.
User: imliuyzh
ntlk,A python program that recommends the best posts via a rating system developed by me.
User: irekter
ntlk,Airline review classifier built in Python for Web Mining course.
User: jaredlgillespie
ntlk,Introduction to Artificial Intelligence with Python
User: jiawei-xing
ntlk,Natural Language Processing pipeline including fundamentals, feature engineering and modeling.
User: kaymal
ntlk,Not your normal social media market!
User: luisgcenci
Home Page: https://devpost.com/software/tweetmarket-uzqfpj
ntlk,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.
User: lyndskg
ntlk,A movie recommender system that uses SBERT for embedding and cosine similarity for recommendations.
User: magus4450
ntlk,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).
User: manel15279
ntlk,Web scraping product reviews data from AliExpress.
User: mohammedderouiche
ntlk,In this repository, the project on NLP-based chatbot that generates responses based on the command given to the system.
User: mohrezasharifi
ntlk,This is just a discord chat bot sample that runs on python
User: mousewanderer
ntlk,Data Science Project for Udacity's Data Scientist Program. Here I created a webapp and ML/NLP pipeline that analyzes message data for disaster response and shows classification results.
User: mr-chang95
ntlk,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.
User: mtank76
ntlk,This is an information retrieval engine running on the shoulders of ntlk library.
User: murithijoshua
ntlk,Spontaneous Poetry Analysis Machine
User: penultimate-panacea
ntlk,An NLP-powered tool for transcribing, summarizing, and indexing podcast content, with video-to-audio conversion and multilingual support.
User: prashver
ntlk,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.
User: robertofranceschi
ntlk,Segmentação dos principais assuntos das reviews utilizando Latent Dirichlet Allocation (LDA). Pandas, Spacy, Deep Translator, GoogleTranslator, googletrans, NLTK, LDA, WordCloud, Pandarallel, pyLDAvis, sklearn, GridSearchCV.
User: rrfsantos
ntlk,Exploratory Analysis of Amazon Product Reviews Dataset comprising of various categories spanning over 14 years
User: sagarparikh2013
ntlk,ML model for rating prediction with NTLK and Scikit-learn.
User: simprecicchiani
ntlk,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 😄
User: sushritpasupuleti
ntlk,A bespoke NLP Chatbot trained using a corpus of Reddit data.
User: therayfitzgerald
ntlk,Bangla Music Mood Detect Pattern Lab Project
User: turjo7
ntlk,Projeto Estágio Supervisionado
User: vieiraanap
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