Neural Machine Translation for Turkish to English Using Deep Learning

Balki, Fatih; Demirhan, Hilmi; Sarp, Salih

doi:10.1007/978-3-030-74728-2_1

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2022

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“…NLP is a branch of Artificial Intelligence (AI) focusing on text-related problems, and one of its goals is to understand the human language. In NLP, there are various language-related fields to focus on, such as machine translation, chatbots, summarizations, question answering, sentiment analysis [1,2].…”

Section: Introductionmentioning

confidence: 99%

Sentiment Analysis Using State of the Art Machine Learning Techniques

Balci

Demirci

Demirhan

et al. 2022

Digital Interaction and Machine Intelligence

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Sentiment analysis is one of the essential and challenging tasks in the Artificial Intelligence field due to the complexity of the languages. Models that use rule-based and machine learning-based techniques have become popular. However, existing models have been under-performing in classifying irony, sarcasm, and subjectivity in the text. In this paper, we aim to deploy and evaluate the performances of the State-of-the-Art machine learning sentiment analysis techniques on a public IMDB dataset. The dataset includes many samples of irony and sarcasm. Long-short term memory (LSTM), bag of tricks (BoT), convolutional neural networks (CNN), and transformer-based models are developed and evaluated. In addition, we have examined the effect of hyper-parameters on the accuracy of the models.

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Section: Introductionmentioning

confidence: 99%