Apply ensemble technique of model stacking to predict patient's readmission

Clever, simple, and intuitive wrapper functionalities for OCRing specific textual materials.

Built a deep learning-based model to recommend movies based on user sentiment. Extracted data using Twitter API, preprocessed data using NLTK, and built machine learning models using Support Vector Machine (SVM) and Long Short-Term Memory (LSTM) classification methods. Deployed the model on Airflow/EC2 and stored results in Amazon S3. Achieved 70%

Natural Language Processing (NLP) is the sub field of computer science especially Artificial Intelligence (AI) that is concerned about enabling computers to understand and process human language.

The project specializes in Text Summarization using NLP's extractive approach, preserving key information for concise summaries. Customize length, handle various formats, and enjoy a user-friendly interface. Applications include content aggregation, document skimming, and data analysis. Hop in to simplify information consumption! 🚀

Sentiment analysis tool scraping Arabic comments displaying results.

Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.

My Python learning experience 📚🖥📳📴💻🖱✏

Here, you get the most advanced python project to impress your crush [By the way I'm lying your crush only hates you If you try to impress her by these projects].

Web Application to provide various natural language processing (NLP) functionalities using NLTK (Natural Language Toolkit) in Python. It allows users to perform tasks such as tokenization, POS tagging, named entity recognition (NER), sentiment analysis, word frequency analysis, concordance, WordNet integration, and chunking on input text.

🌍 Language Translation App using AI 🗣️ Real-time translation for Thai & English using CHATGPT , BING CHAT and Gemini . Easy-to-use interface.

A model that makes use of SVM, Logistic Regression, Naive Bayes, Dense NN to judge whether a review is positive or negative

Data mining song lyrics from most played songs on Spotify to visualize their content

A simple NLP project.

Provides a comprehensive solution for detecting plagiarism and finding similarities between text documents

LegalDigest - NLP Project

Uma classe criada a partir das ferramentas do NLTK e do Google Translator para construir uma Classe Sentiment

This project uses Natural Language Processing (NLP) to analyze tweets and predict whether they contain cyberbullying content. It categorizes cyberbullying into six categories: Age, Ethnicity, Gender, Religion, Other Cyberbullying.

Predicts whether a news is real or fake taking author name and title of the news into consideration.

This is a NLP project for Text Summarization which is built with Flask(RESTapi) and deployed on Heroku(PaaS) using NLTK for summarizing text. Here this app takes your huge paragraphs and gives out the only repeating sentences which are important for you.