Results 21 to 30 of about 633,534 (237)
Econometrics meets sentiment : an overview of methodology and applications [PDF]
, 2020 The advent of massive amounts of textual, audio, and visual data has spurred the development of econometric methodology to transform qualitative sentiment data into quantitative sentiment variables, and to use those variables in an econometric analysis ...
Algaba, Andres +4 more
core +2 more sources
Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks [PDF]
, 2015 Sentiment analysis of online user generated content is important for many social media analytics tasks. Researchers have largely relied on textual sentiment analysis to develop systems to predict political elections, measure economic indicators, and so ...
Jin, Hailin +3 more
core +1 more source
Chinese Text Sentiment Analysis Based on Extended Sentiment Dictionary
IEEE Access, 2019 The method of text sentiment analysis based on sentiment dictionary often has the problems that the sentiment dictionary doesn't contain enough sentiment words or omits some field sentiment words.
Guixian Xu +5 more
doaj +1 more source
Sentiment Analysis in Turkish [PDF]
, 2018 In this chapter, we give an overview of sentiment analysis problem and present a system to estimate the sentiment of movie reviews in Turkish. Our approach combines supervised learning and lexicon-based approaches, making use of a recently constructed Turkish polarity lexicon called SentiTurkNet.
Gezici, Gizem, Yanıkoğlu, Berrin
openaire +4 more sources
Summary of Multi-modal Sentiment Analysis Technology
Jisuanji kexue yu tansuo, 2021 Sentiment analysis refers to the use of computers to automatically analyze and determine the emotions that people want to express. It can play a significant role in human-computer interaction and criminal investigation and solving cases.
LIU Jiming, ZHANG Peixiang, LIU Ying, ZHANG Weidong, FANG Jie
doaj +1 more source
Classifying sentiment in microblogs: is brevity an advantage? [PDF]
, 2010 Microblogs as a new textual domain offer a unique proposition for sentiment analysis. Their short document length suggests any sentiment they contain is compact and explicit.
Bermingham, Adam, Smeaton, Alan F.
core +2 more sources
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages [PDF]
, 2018 Sentiment analysis in low-resource languages suffers from a lack of annotated corpora to estimate high-performing models. Machine translation and bilingual word embeddings provide some relief through cross-lingual sentiment approaches.
Barnes, Jeremy +2 more
core +3 more sources
Human-Centric Intelligent Systems, 2023 This research paper presents a novel approach for recommending products to customers based on their cared aspects by performing sentiment analysis on customer feedback.
Nimesh Bali Yadav
doaj +1 more source
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
IEEE Access, 2019 Sentiment analysis of Chinese micro-blog based on sentiment dictionary has become a challenging research subject in the field of artificial intelligence.
Jiesheng Wu +3 more
doaj +1 more source