https://github.com/ardauzunoglu/rte-speech-generator

Natural Language Processing to generate new speeches for the President of Turkey.
https://github.com/ardauzunoglu/rte-speech-generator

natural-language-processing nlp politics python speech-processing tensorflow turkce turkish turkish-nlp

Last synced: 30 days ago
JSON representation

Natural Language Processing to generate new speeches for the President of Turkey.

• Host: GitHub
• URL: https://github.com/ardauzunoglu/rte-speech-generator
• Owner: ardauzunoglu
• Created: 2020-07-23T21:56:55.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-08-14T19:17:14.000Z (over 3 years ago)
• Last Synced: 2024-08-03T18:19:52.253Z (4 months ago)
• Topics: natural-language-processing, nlp, politics, python, speech-processing, tensorflow, turkce, turkish, turkish-nlp
• Language: Python
• Homepage:
• Size: 18.2 MB
• Stars: 38
• Watchers: 3
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-turkish-nlp - ardauzunoglu/rte-speech-generator - Natural Language Processing to generate new speeches for the President of Turkey. (Libraries / Python)

README

        
# RTE Speech Generator

### Purpose

RTE Speech Generator is a natural language processing application that **analyzes** the speeches given by the President of Turkey, Recep Tayyip Erdoğan, between 2015 and 2020 July and **generates new speeches**.

### Libraries Used

- Tensorflow

- Pandas

- Numpy

- Nltk

- Os

- Textblob

### Requirements

> You must install the libraries in cmd using the command "pip install xxxxx".

### Developer

Arda Uzunoğlu - [ardauzunoglu](https://github.com/ardauzunoglu)

### Further Notes

Application still can be trained and improved.

Latest Update: 26 August 2020

### Amaç

RTE Hitabe Üreticisi, Türkiye'nin Cumhurbaşkanı Recep Tayyip Erdoğan tarafından 2015 ve 2020 Temmuz tarihleri arasında yapılan konuşmaları **analiz ederek yeni hitabe üreten** bir doğal dil işleme uygulaması.

### Kullanılan Kütüphaneler

- Tensorflow

- Pandas

- Numpy

- Nltk

- Os

- Textblob

### Gereksinimler

> Yukarıdaki kütüphaneleri konsolda "pip install xxxxx" komudu ile kurmalısınız.

### Geliştirici

Arda Uzunoğlu - [ardauzunoglu](https://github.com/ardauzunoglu)

### İlave Notlar

Uygulama, hala train edilebilir ve geliştirilebilir.

Son Güncelleme: 26 Ağustos 2020