savasy/textprocessing

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Created over 9 years ago
Updated over 9 years ago

savasy/textprocessing

savasy

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there are some basic tools to analyse text

Turkish-Bert-NLP-Pipeline

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

Jupyter Notebook

prompt-based-learning

This is a simple implementation of how to leverage a Language Model for a prompt-based learning model

Jupyter Notebook

TurkishWordEmbeddings

Word Embedding based Semantic Relation Detection for Turkish Language

cmpe343

Cmpe 343 Course Repository

Jupyter Notebook

QuestionParaphrasesForTurkish

This data set contain question paraphrases for Turkish Languages

Turkish-Bert-Based-NERModel

Bert-based NER Model for Turkish Language

Jupyter Notebook

TurkishTextClassification

text classification for Turkish language

Jupyter Notebook

TurkishSentimentAnalysis

Bert-based Sentiment Analysis Model For Turkish Language

Jupyter Notebook

TC32

Text Classification Dataset for Turkish Language

cmpe346

Natural Language Processing

Jupyter Notebook

CorrespondenceAnalysisForNLP

Jupyter Notebook

TurkishBERTweet

the project is for developing a pretrained domain-specific model for Turkish Twitter.

Evliya-analysis

Jupyter Notebook

secimanalizi

ver ve metin madenciliği yöntemleriyle sçim analizleri

TurkishSpellCorrection

This project includes a dataset for SpellCorrection where data includes two column the first includes a sentence which incorrect and the second is its corrected version

SemanticShift

TurkishWordFreq

Turkish Word Frequency List

word2vec2PCA

converting gensim word2vec model into the format so that we can upload to the projector.tensorflow.org

lines2bi

savasy.github.io