Alaettin Uçan

Tiga Healthcare

Computational linguistics is an interdisciplinary field that aims to understand the verbal or written language, to express it mathematically and suggest methods, models and tools to achieve these goals. Emotion analysis, a research area of computational linguistics; is the process of finding which feelings taking place in what proportion in sound,...

Emotion classification is a research field that aims to detect the emotions in a text using machine learning methods. In traditional machine learning (TML) methods, feature engineering processes cause the loss of some meaningful information, and classification performance is negatively affected. In addition, the success of modelling using deep lear...

Emotion analysis means to automatic determination of the emotions in any digital content. It has become a necessity to distill and evaluate with emotion analysis the big data that emerged as a result of the dizzying technological developments in the internet and digital communication and the social changes caused by these. However, a large amount o...

Automatic detection of emotions in textual data masses provides priceless opportunities for researchers and also it is inevitable for practitioners. The unfavorable factors involved in text data cause ambiguity and adversely affect the performances of emotion classifiers. Although deep learning approaches spark off significantly successive results,...

Meta-heuristic algorithms have a high position among academic researchers in various fields, such as science and engineering, in solving optimization problems. These algorithms can provide the most optimal solutions for optimization problems. This paper investigates a new meta-heuristic algorithm called Slime Mould algorithm (SMA) from different op...

This dataset was created for the Paper 'SentiWordNet for New Language: Automatic Translation Approach' Ucan et. al,. SITIS 2016 It contains sentences labelled with positive or negative sentiment. We have selected two most popular movie and hotel recommendation websites from those which attain a high rate in the Alexa website. We selected “beyazpe...

According to the Plutchik emotion classification, complex emotions consist of different combinations of eight basic emotions. The word embeddings in the literature are described as vector space where the word meanings are represented numerically. In this space, word analogies dealing with the similarities of vectors can be carried out. In this stud...

This paper describes the approaches used in HUMIR system for the WASSA-2018 shared task on the implicit emotion recognition. The objective of this task is to predict the emotion expressed by the target word that has been ex- cluded from the given tweet. We suppose this task as a word sense disambiguation in which the target word is considered as a...

This paper proposes an automatic translation approach to create a sentiment lexicon for a new language from available English resources. In this approach, an automatic mapping is generated from a sense-level resource to a word-level by applying a triple unification process. This process produces a single polarity score for each term by incorporatin...

Although term weighting approach is typically used to improve the performance of text classification, this approach may not provide consistent results while imbalanced data distribution is available. This paper presents a probability based term weighting approach which addresses the different aspects of class imbalance problem in text classificatio...

People want to decide in their daily and seasonal activities by referring other people's emotions, experiences or opinions. This tendency also means transfer of experience and expansion of communal memory. For instance, making a decision about a product or service to buy, a movie to watch or a candidate to elect can be counted in this manner. Other...

Sentiment analysis systems pursuit the goal of detecting emotions in a given text with machine learning approaches. These texts might include three kinds of emotions such as positive, negative and neutral. Entertainment oriented texts, especially movie reviews, contain huge amount of possible emotional information. In this study, we aimed to repres...