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

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

Zemberek NLP Kütüpanesi için Örnek SOAP Web Servisi

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, ...} ).

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

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

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

This project is a Python application developed to perform sentiment analysis on Turkish texts. The main goal is to detect positive, negative and neutral sentiments from texts and analyze the general sentiment of each sentence.

WhatsApp Sentiment Analysis: Unveiling Emotional Trends in Conversations