deep learning based sequence labeling tools

Tokenization, Stemming, Lemmatization, Bag of words, TF-IDF

Course offered by Udemy . Created and taught by Ankit Mistry, Vijay Gadhave, Data Science & Machine Learning Academy.

A restaurant management web application in which the system assigns a unique token to each order and notifies the customer when the order is complete.

A simple spam classifier using Naive Bayes and Natural Language Processing

Welcome to the Zenith Token Application, where managing your Zenith tokens is a seamless experience. This application empowers you to effortlessly check your token balance and execute secure transactions by sending Zenith tokens to other addresses.

This project utilizes a machine learning model where consumer brand data is employed. Initially, a preliminary model is developed, followed by a refined model using a process called 'fine-tuning' to improve results. Additionally, a comprehensive testing suite has been created to validate accuracy and reliability of the model's predictions.

C Compiler in PHP

The project aims to build a search engine for EncyclEarthpedia by retrieving and processing content from Wikipedia articles, despite the unavailability of their database and API. Key tasks include retrieving Wikipedia content, cleaning and processing text data, tokenizing the content, counting token frequency, and visualizing the mostfrequenttokens

External contract to add supplementary check to the CMTAT

An Nft drop website of 100 sex positions

Wrapper of TreeTaggerWrapper

An interpreter for a (very) simple functional programming language.

In this notebook everything is done from data preprocessing to encoding

A repository where I'll be sharing the code for various NLP tasks that I perform, especially on kaggle datasets and challenges.

In this project, I have used gensim and nltk libraries to extract topic from the given data.

[Tokenization, Topic Modeling, Sentiment Analysis, Network of Bigrams] The purpose of this project is to see if text mining techniques can ease better analysis for categorizing movies with just the Descriptions while ignoring the Genre from the dataset, IMDB_movies.csv, which is stored under the data frame variable, movies_desc. Tokenization (TF…

Blockstream AMP tokenization example