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

Using text analytics to understand cultural patterns in philosophical texts. Exploring gender, author, region, and time-period differences, and extracting key philosophical concepts.

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.

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.

Web scraping product reviews data from AliExpress.

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

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.

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).

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

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.

Employs the NLTK library to craft Shakespearean Sonnets

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.

Projeto Estágio Supervisionado

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.

учебные проекты Яндекс.Практикум "Специалист по Data Science"

Here are some of my projects implemented during the training in Yandex.Practicum

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.

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

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

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.