Results 21 to 30 of about 1,654 (258)

iTac: Aspect Based Sentiment Analysis using Sentiment Trees and Dictionaries [PDF]

Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014
This paper describes our approach for the fourth task of the SemEval 2014 challenge: Aspect Based Sentiment Analysis. Our system is designed to solve all four subtasks: (i) identifying aspect terms, (ii) determining the polarity of an aspect term, (iii) detecting aspect categories, and (iv) determining the polarity of a predefined aspect category.
Fritjof Bornebusch, Glaucia Cancino, Melanie Diepenbeck, Rolf Drechsler, Smith Djomkam, Alvine Nzeungang Fanseu, Maryam Jalali, Marc Michael, Jamal Mohsen, Max Nitze, Christina Plump, Mathias Soeken, Hubert Fred Tchambo, Toni, Henning Ziegler   +14 more
openaire   +1 more source

Sentiment Classification Algorithm Based on the Cascade of BERT Model and Adaptive Sentiment Dictionary [PDF]

Wireless Communications and Mobile Computing, 2021
The mobile social network contains a large amount of information in a form of commentary. Effective analysis of the sentiment in the comments would help improve the recommendations in the mobile network. With the development of well‐performing pretrained language models, the performance of sentiment classification task based on deep learning has seen ...
Ruixue Duan, Zhuofan Huang, Yangsen Zhang, Xiulei Liu, Yue Dang   +4 more
openaire   +1 more source

A syntax-injected approach for faster and more accurate sentiment analysis [PDF]

PeerJ Computer Science
Sentiment Analysis (SA) is a crucial aspect of Natural Language Processing (NLP), focusing on identifying and interpreting subjective assessments in textual content.
Muhammad Imran, Olga Kellert, Carlos Gómez-Rodríguez   +2 more
doaj   +2 more sources

Data Mining Algorithm for Demand Forecast Analysis on Flash Sales Platform

Complexity, 2021
With the development of the digital economy, the emerging marketing strategy of the e-commerce flash sales has been changing the traditional purchasing habits of customers. This imposes new decision-making challenges for companies involved in flash sales.
Mingyang Zhang, Yixin Wang, Zhiguo Wu
doaj   +1 more source

Semantic Orientation of Crosslingual Sentiments: Employment of Lexicon and Dictionaries

IEEE Access, 2023
El análisis de sentimientos es una disciplina moderna en la encrucijada de la minería de datos y el procesamiento del lenguaje natural. Se ocupa del tratamiento computacional de los estados de ánimo públicos compartidos en forma de texto a través de sitios web de redes sociales.
Arslan Ali Raza, Asad Habib, Jawad Ashraf, Babar Shah, Fernando Moreira   +4 more
openaire   +3 more sources

Graph-Based Lexical Sentiment Propagation Algorithm

Mathematics
In the rapidly developing field of sentiment analysis, it is a challenge to create sentiment dictionaries with broad coverage, especially for languages with limited resources. To address this problem, we propose innovative methodologies that automate the
Tajana Ban Kirigin, Sanda Bujačić Babić, Benedikt Perak   +2 more
doaj   +1 more source

Social media analysis during political turbulence.

PLoS ONE, 2017
Today, a considerable proportion of the public political discourse on nationwide elections proceeds in Online Social Networks. Through analyzing this content, we can discover the major themes that prevailed during the discussion, investigate the temporal
Despoina Antonakaki, Dimitris Spiliotopoulos, Christos V Samaras, Polyvios Pratikakis, Sotiris Ioannidis, Paraskevi Fragopoulou   +5 more
doaj   +1 more source

Analyzing the User's Sentiments of ChatGPT Using Twitter Data

Iraqi Journal for Computer Science and Mathematics, 2023
ChatGPT, an advanced language model based on artificial intelligence developed by the OpenAI, was released to internet users on November 30, 2022, and has attracted a great deal of attention.
ADEM KORKMAZ, CEMAL AKTÜRK, TARIK TALAN
doaj   +1 more source

On the Statistical and Temporal Dynamics of Sentiment Analysis

IEEE Access, 2020
Despite the broad interest and use of sentiment analysis nowadays, most of the conclusions in current literature are driven by simple statistical representations of sentiment scores.
Margarita Rodriguez-Ibanez, Francisco-Javier Gimeno-Blanes, Pedro Manuel Cuenca-Jimenez, Sergio Munoz-Romero, Cristina Soguero, Jose Luis Rojo-Alvarez   +5 more
doaj   +1 more source

Examining Sentiment in Complex Texts. A Comparison of Different Computational Approaches

Frontiers in Big Data, 2022
Can we rely on computational methods to accurately analyze complex texts? To answer this question, we compared different dictionary and scaling methods used in predicting the sentiment of German literature reviews to the “gold standard” of human-coded ...
Stefan Munnes, Corinna Harsch, Marcel Knobloch, Johannes S. Vogel, Johannes S. Vogel, Lena Hipp, Lena Hipp, Erik Schilling   +7 more
doaj   +1 more source