Progetto di Linguistica Computazionale per la tesi di laurea triennale in Informatica Umanistica

Sentiment Analysis module created in Python using nltk, connected to Twitter

A simple Regex based chatbot

This is an experiment on text classification using different supervised learning classifiers and their variants conducted on the Reuters-21578 dataset. The aim is to evaluate the best performance for each of the classifiers by properly tuning the parameters of each classifier so that the least error is recorded during the classification.

A simple chatbot just to make use of interaction with human users

Parse English language sentences to find the nouns and verbs

Practice of the book about the Python's module Natural Language Toolkit

Mine Tweets, Clean Data, Preprocess the data, Analyze Twitter sentiment

Simulation of a coffee shop using the command line interface!

This is a baisc title generation project which gives the important keywords and its frequency out of a paragraph or a text, which can be used for title generation. This is implemented using Python Natural language Processing.

this is an application for summarising text

A command line based local search engine.

A flask api with a details extractor that uses nltk packages to detect and extract necessary details from a flight booking human readable message

This Repository contains all the codes I have implemented while completing the course 'Machine Learning A-Z' on Udemy.

My attempt at performing sentiment analysis on investment subreddits

Doc-Phi: An Intelligent Document Finder

A voice based (speech to speech) hand cricket like game in python

Simple crossword-like game. Use given letters to create English words.

Este repositorio contiene un proyecto de chatbot interactivo creado utilizando OpenAI para la generación de respuestas inteligentes. La interfaz de usuario se implementa con Streamlit, lo que permite una experiencia fluida y fácil de usar. El chatbot puede responder preguntas de acuerdo a la información contenida en el PDF cargado.

Natural language processing project using a trigram language model.