First Dapp (for BlockchainChallenge)

bidbit.io -*- a Blockchain Auction House of the Crypto Contemporary Alt Art Collection : Asset Class Digital, Virtual and Tokenized Fine Art and Blue Chip crypto contemporary tokenized virtual and physical art . Provenence Tacking, Cataloging Cold Storage Vaults. Collection Maintenance, Appraisal, restoration and "DigiRedux" of Masterpeices.

Includes the basic Information retrieval techniques demonstrated with python. (tokenization, isolated word correction, context sensitive word correction, Stemming, and Lemmatization )

here you can see how to tokenize the data: 1) how to use the useful libraries for nlp 2) how to clean data 3)how to make normalization and removing stop words 4) how to make lemmatization and stemming

This repo contains basic tutorial on how to get started with the fundamentals of NLP and a few projects like Twitter Data Sentiment Analysis, Restaurant Reviews, etc

The effects of word segmentation quality on word alignments.

Cryptoeconomics research group's repository

tokenize a program and generate a symbol table for it using sly.

Probabilistic Reasoning and Bayes Rule; Text Data Analysis; Document Ranking and Evaluation.

NLP Spam Classifier Model to separate out Spam messages from legitimate messages.

UAT es un tokenizer aritmético básico con funciones para determinar errores, separar tokens por tipos y preparar strings para conversiones a infix, etc.

E-Mail Spam / Ham classifier using basic NLP

This project aims to implement word-based, character-based and subword-based tokenization techniques.

A toolbox which provides text preprocessing steps for Turkish language.

scam Drainer

This repository contains the MVP for the penomo protocol, a platform designed for the tokenization of renewable energy assets. The protocol aims to provide a regulatory compliant and user-friendly platform that facilitates the tokenization process, enabling asset owners to unlock liquidity and investors to receive revenue shares.

A plagiarism detection service

This sentiment analysis model utilizes a Transformer architecture to classify text sentiment into positive, negative, or neutral categories with high accuracy. It preprocesses text data, trains the model on the IMDB dataset, and effectively predicts sentiment based on user input.

Performed feature engineering and data cleaning on text data using lemmatization techniques and stop word removals.

RECUPERACIÓ DE LA INFORMACIÓ Curs 2023-24 EPSEVG