#Nltk
Showing 37 of 37 repositories tagged #nltk, ranked by stars
NLTK Source
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
The Classical Language Toolkit
Creating a software for automatic monitoring in online proctoring
The hands-on NLTK tutorial for NLP in Python
RAG LLM Ops App for easy deployment and testing
Transform AI-generated text into formal, human-like, and academic writing with ease, avoids AI detector!
:video_camera: A tool for automatic video creation and uploading on YouTube
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.
텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
Python tutorials as Jupyter Notebooks for NLP, ML, AI
Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
Automatic categorization of documents, consists in assigning a category to a text based on the information it contains. We'll follow different approach of Supervised Machine Learning.
🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.
Text Summarization for Research Papers
Machine Learning Project on Resume Screening using Python
A model which uses your social media posting predict your MBTI personality type.
linguistics tree drawing to SVG in python, aimed at Jupyter
This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.
A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.
Different approaches for different Classical Machine Learning, and NLP competitions from Kaggle.
Collect and process real time twitter data plotting various metrics like volume , proportion, sentiment. Analyze tweet node networks and map them geographically.
NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psychology and casual writing styles and handling heavily imbalanced classes. Check the app here - https://mb-predictor-motetuzs5q-uc.a.run.app/
Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.
Document classification into four defined categories (World, Sports, Business, Sci/Tech). Text Pre-processing using NLTK. Trained with different models ranging from Naïve Bayes to Convolutional Neural Network (CNN) and RCNN.
🎭 Проекты, которые я выполняю самостоятельно. Датасеты беру из открытых источников.
This Project is to create a tool which can parse the Resumes and transform them into our own templates
This project demonstrates the application of machine learning techniques to predict house prices based on various features. By analyzing the dataset, preprocessing the data, and selecting an appropriate model, we were able to achieve a high level of accuracy in predicting house prices. The trained model can be further refined and deployed.
Text classification is a fundamental task in natural language processing (NLP), used widely for spam detection, sentiment analysis, and categorization of textual data. In this Python script, we delve into building a text classification pipeline using a Naive Bayes classifier with TF-IDF (Term Frequency-Inverse Document Frequency) features.
:snake: Data Science Boot-Camp : UC San DiegoX
Programming in Python and Fundamentals of Software Development - Summer 2017
persian Ham Spam detector with python, hazm, nltk and nlp.
This project provides valuable customer sentiment insights for Zomato by tracking and analyzing tweets related to their brand and services.
Classifier that identifies Greek text as Cypriot Greek or Standard Modern Greek