Aspect-based sentiment analysis: an overview in the use of Arabic language
Sentiment analysis has become one of the most active research areas in natural language
processing, and the Arabic language retains its importance in this field. It is so because of …
processing, and the Arabic language retains its importance in this field. It is so because of …
Zero-shot emotion detection for semi-supervised sentiment analysis using sentence transformers and ensemble learning
SG Tesfagergish, J Kapočiūtė-Dzikienė… - Applied Sciences, 2022 - mdpi.com
We live in a digitized era where our daily life depends on using online resources.
Businesses consider the opinions of their customers, while people rely on the …
Businesses consider the opinions of their customers, while people rely on the …
Analysis of Deep Learning Model Combinations and Tokenization Approaches in Sentiment Classification
Sentiment classification is a natural language processing task to identify opinions expressed
in texts such as product or service reviews. In this work, we analyze the effects of different …
in texts such as product or service reviews. In this work, we analyze the effects of different …
[PDF][PDF] Semi-supervised text annotation for hate speech detection using k-nearest neighbors and term frequency-inverse document frequency
Natural Language Processing (NLP) concept. This process requires annotation of the text in
the labeling. However, when carried out by people, this process must use experts in the field …
the labeling. However, when carried out by people, this process must use experts in the field …
[PDF][PDF] SMS Spam Detection System Based on Deep Learning Architectures for Turkish and English Messages
Short Message Service (SMS) still continues its existence despite the emergence of different
messaging services. It plays a part in our lives as a communication service. Companies use …
messaging services. It plays a part in our lives as a communication service. Companies use …
A comprehensive analysis of static word embeddings for Turkish
Word embeddings are fixed-length, dense and distributed word representations that are
used in natural language processing (NLP) applications. There are basically two types of …
used in natural language processing (NLP) applications. There are basically two types of …
Semi-supervised Learning Models for Sentiment Analysis on Marketplace Dataset
Sentiment analysis aims to categorize opinions using an annotated corpus to train the
model. However, building a high-quality, fully annotated corpus takes a lot of effort, time, and …
model. However, building a high-quality, fully annotated corpus takes a lot of effort, time, and …
Decoding Emotional Dynamics: A Comparative Analysis of Contextual and Non-Contextual Models in Sentiment Analysis of Turkish Couple Dialogues
This paper introduces the “Couple Dialogue” dataset, specifically curated for conversational
sentiment analysis in the Turkish language. It comprises 14,294 utterances from 118 dyadic …
sentiment analysis in the Turkish language. It comprises 14,294 utterances from 118 dyadic …
SMS Spam Detection System Based on Deep Learning Architectures in Turkish and English Messages
Z Albayrak, HC Altunay - 2023 - europepmc.org
SMS still continues its existence despite the emergence of different messaging services. It
takes a part in our lives as a communication service to date. Companies use SMS for …
takes a part in our lives as a communication service to date. Companies use SMS for …
A Cross-Validation Study of Turkish Sentiment Analysis Datasets and Tools
Ş Çakıcı, D Karaduman, MA Çırlan… - arxiv preprint arxiv …, 2024 - arxiv.org
In recent years, sentiment analysis has gained increasing significance, prompting
researchers to explore datasets in various languages, including Turkish. However, the …
researchers to explore datasets in various languages, including Turkish. However, the …