Results 31 to 40 of about 4,618 (250)

Semantic Orientation of Crosslingual Sentiments: Employment of Lexicon and Dictionaries

open access: yesIEEE 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   +4 more
openaire   +3 more sources

A customer feedback sentiment dictionary: Towards automatic assessment of online reviews

open access: yesEuropean Journal of Tourism Research, 2019
This paper aims at creating a tool to automatically extract online customer reviews of hospitality businesses and to assign a reliable score to them, based on a specifically created sentiment dictionary for this purpose by means of a statistical ...
Laurens Tetzlaff   +3 more
doaj   +1 more source

Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs

open access: yesEPJ Data Science, 2017
The emergence and global adoption of social media has rendered possible the real-time estimation of population-scale sentiment, an extraordinary capacity which has profound implications for our understanding of human behavior.
Andrew J Reagan   +4 more
doaj   +1 more source

Sentiment analysis based on a social media customised dictionary

open access: yesMethodsX, 2021
This article presents a methodology to classify the polarity of words from selected Tweets. Usually, social media sentiment (SMS) is lexically determined, manually or by machine learning.
Milene Dias Almeida   +3 more
doaj   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi   +2 more
wiley   +1 more source

A Perspective on Interactive Theorem Provers in Physics

open access: yesAdvanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

Graph-Based Lexical Sentiment Propagation Algorithm

open access: yesMathematics
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   +2 more
doaj   +1 more source

Sentiment Classification for Chinese Text Based on Interactive Multitask Learning

open access: yesIEEE Access, 2020
In this paper, an interactive multitask learning method for Chinese text sentiment classification is proposed. Here, the classic BiLSTM + attention + CRF model is used to obtain full use of the interaction relationship between tasks, and it ...
Han Zhang   +4 more
doaj   +1 more source

Vernacular Futurism: How Persian Language Users Imagine AI

open access: yesAI &Innovation, EarlyView.
ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley   +1 more source

Financial sentiment analysis for pre-trained language models incorporating dictionary knowledge and neutral features

open access: yesNatural Language Processing Journal
With increasing financial market complexity, accurate sentiment analysis of financial texts has become crucial. Traditional methods often misinterpret financial terminology and show high error rates in neutral sentiment recognition.
Yongyong Sun, Haiping Yuan, Fei Xu
doaj   +1 more source

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