Results 31 to 40 of about 30,779 (289)
A Multi-Layer Network for Aspect-Based Cross-Lingual Sentiment Classification
IEEE Access, 2021 In the recent era, the advancement of communication technologies provides a valuable interaction source between people of different regions. Nowadays, many organizations adopt the latest approaches, i.e., sentiment analysis and aspect-oriented sentiment ...
Kalim Sattar +5 more
doaj +1 more source
Sentiment Analysis of Danmaku Videos Based on Naïve Bayes and Sentiment Dictionary [PDF]
IEEE Access, 2020 Danmaku video provides a platform for users to communicate online while watching videos. Danmaku is a live commenting function where the comments related to the video being screened are created by users and prominently shown in real-time on the video screen. These live comments contain complex and rich sentiments, reflecting users’ instant opinions and
Zhi Li, Rui Li, Guanghao Jin
openaire +1 more source
Statistical Inferences for Polarity Identification in Natural Language
, 2018 Information forms the basis for all human behavior, including the ubiquitous decision-making that people constantly perform in their every day lives. It is thus the mission of researchers to understand how humans process information to reach decisions ...
Feuerriegel, Stefan +2 more
core +2 more sources
The Royal Birth of 2013: Analysing and Visualising Public Sentiment in the UK Using Twitter [PDF]
, 2013 Analysis of information retrieved from microblogging services such as Twitter can provide valuable insight into public sentiment in a geographic region. This insight can be enriched by visualising information in its geographic context.
Barker, Adam +2 more
core +2 more sources
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 +5 more
doaj +1 more source
Capturing Contextual Factors in Sentiment Classification: An Ensemble Approach
IEEE Access, 2020 Sentiment classification is a crucial task in sentiment analysis, and has received significant attention from researchers. Previous studies have focused on using several techniques to solve this problem.
Thien Khai Tran, Tuoi Thi Phan
doaj +1 more source
Sentiment analysis based on a social media customised dictionary
MethodsX, 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. However, these methods are either slow or based on a pre-established dictionary, thus not providing a customised analysis. We propose a methodology that, after having
Milene Dias Almeida +3 more
openaire +3 more sources
Task-specific Word Identification from Short Texts Using a Convolutional Neural Network
, 2017 Task-specific word identification aims to choose the task-related words that best describe a short text. Existing approaches require well-defined seed words or lexical dictionaries (e.g., WordNet), which are often unavailable for many applications such ...
Wu, Xintao, Xiang, Yang, Yuan, Shuhan
core +1 more source
HMDSAD: Hindi multi-domain sentiment aware dictionary [PDF]
2015 International Conference on Computing and Network Communications (CoCoNet), 2015 Sentiment Analysis is a fast growing sub area of Natural Language Processing which extracts user's opinion and classify it according to its polarity into positive, negative or neutral classes. This task of classification is required for many purposes like opinion mining, opinion summarization, contextual advertising and market analysis but it is domain
Vandana Jha +4 more
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A Perspective on Interactive Theorem Provers in Physics
Advanced 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