NLP tools for Turkish.

Zemberek Turkish NLP examples written in Python using the JPype package. Battle-tested in hackathons and r&d projects by many students and researchers across Turkey!

Visualization of the most used words in "Gündem" category at Hurriyet.com.tr within the years.

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

Turkish NLP Lib

Zemberek NLP Kütüpanesi için Örnek SOAP Web Servisi

ZemberekDotNet is the .NET Port of Zemberek-NLP (Natural Language Processing tools for Turkish).

Author-text classification in Turkish texts with 80% accuracy in svm linear kernel

A framework that allows users who tweet in Turkish to get an estimation of their Big Five OCEAN Personality scores via their tweets.

Zipf's law has been proven on the Turkish and English versions of Harry Potter and the Philosopher's Stone.

Machine Learning, NLP: Text Classification using scikit-learn, python and Zemberek.

2016 - 2017 Graduation Project

We require a system to generate words and sentences in Turkish based on certain calculations and rules. Assume that ascending order Turkish alphabet is assigned numerical values starting from 1. (e.g. letter_values = {'a':1, 'b':2, 'c':3, 'ç':4, 'd':5, 'e':6, ...} ).

Server and base Docker images for embed Zemberek to Java or Python applications

Deep Learning Based Spell Checker Tool for Turkish (LSTM, encoder-decoder)

Chrome extension that sends a selected text to a local webserver than highlights and shows the frequencies of the words.

WhatsApp Sentiment Analysis: Unveiling Emotional Trends in Conversations