Dec 16, 2019 · Besides, we curated a dataset of Turkish tweets and annotated each tweet automatically for six emotion categories using a lexicon-based approach ...

The study's goal was to divide tweets into positive and negative categories before further subdividing them into the six fundamental emotions Ekman suggested: ...

The results showed that the lexicon-based automatic annotation of tweets is valid, and the proposed approach for emotion analysis of tweets in Turkish ...

Dec 26, 2019 · In this study, we investigated the performance of deep neural networks on emotion analysis from Turkish tweets. For this, we examined three ...

Apr 13, 2022 · This paper aims to perform sentiment analysis of several machine learning algorithms on Turkish language datasets that are collected from ...

In this paper, we address three data augmentation techniques namely Shift, Shuffle, and Hybrid to increase the size of the training data; and then we use three ...

Oct 10, 2022 · The proposed deep neural network model was trained on the constructed Twitter dataset, which consists of 15 k Turkish tweets regarding the COVID ...

The proposed deep neural network model was trained on the constructed Twitter dataset, which consists of 15 k Turkish tweets regarding the COVID‐19 pandemic, to ...

This study proposes a Turkish text sentiment analysis methodology for estimating people's satisfaction with Turkish Universities by employing nine conventional ...

Aug 1, 2024 · To fill this need, our study investigates the effectiveness of embedding techniques including pre-trained Turkish models such as Word2Vec, GloVe ...