nltk-python

In this project we construct phrase query retrieval using 20_newsgropus dataset

This repository contains notes and code example for topics under NLP

A Naive Bayes Model is created to classify Emails as Spam and Ham. NLP Techniques are used to preprocess data.

Coursera project

Dynamic MCQ Generator using NLP

• Pyhton • chatterbot • pyttsx3 - Text-to-speech x-platform • Spacy,NLTK,pyaudio Module

Extract information from text

Welcome to the Newspaper Advertisement Analysis Server repository! This server-side component is a crucial part of our mobile-optimized web application designed to extract key details from newspaper advertisements using advanced Natural Language Processing (NLP) techniques.

Em uma base de treinamentos, calculando a frequência de palavras e realizando o plot da mesma.

A Machine Learning project using Logistic Regression for predicting whether a news is fake or real.

This repository stores my study about NLP subject.

An IoT-based virtual assistant running on Python and Natural Language Processing to solve IT-related queries of the organization.

Academic project about sentiment analysis.

This repository presents a semantic analysis algorithm that will allow you to build a correlation between the amount and type of news and a change in the stock price.

Machine Learning Notebooks for various ML models like CNNs, RF, SVM, Log-reg, etc.

Dictionary Using Python NLTK

The "SMS Spam Classification" project aims to develop a machine learning model to automatically identify and classify SMS messages as either spam or legitimate (ham).

I developed a sophisticated movie recommendation system using Python, leveraging key libraries such as Pandas, NumPy, Scikit-Learn, and Natural Language Toolkit (NLTK). The system utilizes data scraping techniques to gather movie information and employs advanced data visualization techniques for insightful analysis.

This project is a content-based movie recommendation system built using Python and Streamlit. The system suggests movies similar to a user-selected movie by analyzing plot descriptions and using machine learning techniques like cosine similarity.