n-grams

komodojp/tinyld

Simple and Performant Language detection library for NodeJS

andreekeberg/ml-classify-text-js

Machine learning based text classification in JavaScript using n-grams and cosine similarity

gpoulter/python-ngram

Python Set subclass that supports searching by ngram similarity

ezgisubasi/turkish-tweets-sentiment-analysis

This sentiment analysis project determines whether the tweets posted in the Turkish language on Twitter are positive or negative.

Data-on-the-Mind/2017-summer-workshop

Exercises, data, and more for our 2017 summer workshop (funded by the Estes Fund and in partnership with Project Jupyter and Berkeley's D-Lab)

tienthanhdhcn/Vietnamese-Accent-Prediction

A simple/fast/accurate accent prediction for non-accented Vietnamese text

kshramt/company-ngram

beowolx/haiku-search

Haiku-Search is a high-performance fuzzy search library designed for web applications. It is built using Rust and compiled to WebAssembly

parvvaresh/Evaluation-of-machine-translation-by-NLP

To evaluate machine translation, they use several methods, some of which we fully implemented

KhaledAshrafH/Auto-Filling-Text

This project is an auto-filling text program implemented in Python using N-gram models. The program suggests the next word based on the input given by the user. It utilizes N-gram models, specifically Trigrams and Bigrams, to generate predictions.

ZavierYang/N-gram-model-for-Hangman-game

Use different orders of N-gram model to play Hangman game.

stathwang/POS-Taggers

Part-of-Speech Tagging Models in Python

DanielJohnBenton/Ngrams.java

:cake: A library for creating n-grams, skip-grams, bag of words, bag of n-grams, bag of skip-grams.

dohliam/hawaiian-corpus

Data from a corpus of written Hawaiian

go-generalize/volcago

Model Generator for Firestore

ltfschoen/AIND-Recognizer

Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)

evan-l-munson/saotd

Sentiment Analysis of Twitter Data (saotd)

chattylabs/language-detector

Package to detect the language of a given text (focusing on short "sms" type text used on tweets, facebook, WhatsApp, etc)

Al00X/LanguageDetector

Detect language from a text string in Swift!

FutureComputing4AI/KiloGrams

KiloGram algorithm for finding the top-k most frequent n-grams for large values of n quickly with fixed memory.

abhinav-upadhyay/nbspell

New spell(1) implementation for NetBSD

drupol/phpngrams

Get N-Grams !

fredriko/metacurate-lexicon

A web service that exposes semantic similarity search via a web GUI and a RESTful API.

justachetan/nlp

Code written as a part of assignments for CSE556 Natural Language Processing taught by Dr. Tanmoy Chakraborty at IIIT Delhi in Monsoon 2018

cvcio/go-plagiarism

Plagiarism detection using stopwords n-grams

hb20007/greek-dialect-classifier

Classifier that identifies Greek text as Cypriot Greek or Standard Modern Greek

vgherard/kgrams

k-grams, Language Models, and All That

DanielJohnBenton/TownsAndVillages

:european_castle: Mapping British place names and other analysis

lemonzi/DateMyMusic

Predict the composition year of a given MIDI piece - Classical Music Hack Day 2013 @ Vienna. Live at:

OnlyChristmas/SMP-ETST-2018

SMP_ETST 2018 christmas

yoraghav/Automated_Hangman

Uses letter frequency and catboost classifier model in synchronous for guessing letters in hangman game instance. The model performance is evaluated on both seen words in the dictionary and words out of the dictionary.

go-generalize/firestore-repo

Model Generator for Firestore(move to volcago)

keya-desai/Natural-Language-Processing

Python implementation of N-gram Models, Log linear and Neural Linear Models, Back-propagation and Self-Attention, HMM, PCFG, CRF, EM, VAE

spChalk/Vaccine-Sentiment-Classifier

:syringe: Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

vaitybharati/Assignment-11-Text-Mining-01-Elon-Musk

Assignment-11-Text-Mining-01-Elon-Musk, Perform sentimental analysis on the Elon-musk tweets (Exlon-musk.csv), Text Preprocessing: remove both the leading and the trailing characters, removes empty strings, because they are considered in Python as False, Joining the list into one string/text, Remove Twitter username handles from a given twitter text. (Removes @usernames), Again Joining the list into one string/text, Remove Punctuation, Remove https or url within text, Converting into Text Tokens, Tokenization, Remove Stopwords, Normalize the data, Stemming (Optional), Lemmatization, Feature Extraction, Using BoW CountVectorizer, CountVectorizer with N-grams (Bigrams & Trigrams), TF-IDF Vectorizer, Generate Word Cloud, Named Entity Recognition (NER), Emotion Mining - Sentiment Analysis.