Results 211 to 220 of about 1,654 (258)

Measuring Public Sentiment on Corporate Sustainability Through Big Data and Social Media Analytics

Business Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT Currently, corporate sustainability is primarily assessed through companies' own sustainability reports and evaluations conducted by NGOs and rating agencies. These approaches present several limitations, including potential reporting bias and limited transparency in evaluation methodologies. In response, this paper proposes CSR‐IRIS‐v2, a big
Adriana M. Barbeito‐Caamaño, Ricardo Chalmeta   +1 more
wiley   +1 more source

Noise and neglect: Social-media signals expose attention gaps for dengue, chikungunya, lymphatic filariasis and kala-azar in India's vector-borne NTDs. [PDF]

PLoS Negl Trop Dis
Konhar R, Lalsanga JK, Biswal DK.
europepmc   +1 more source

Sentiment in speech is associated with symptom severity in psychosis. [PDF]

Cogn Neuropsychiatry
Mehta A, Nikzad AH, Cong Y, Cho S, Pradhan S, Tang SX.   +5 more
europepmc   +1 more source

Social support detection from social media texts. [PDF]

PLoS One
Ahani Z, Shahiki Tash M, Balouchzahi F, Ramos L, Sidorov G, Gelbukh A, Monroy RL.   +6 more
europepmc   +1 more source

Sentiment polarity in nursing notes predicts perioperative complications and shorter hospital stay in hip arthroplasty: Subgroup-specific associations and mediation by complications. [PDF]

PLoS One
Weng LL, Ni Y, Jian ZY, Zhu YB, Huang XL.   +4 more
europepmc   +1 more source

Research on sentiment index and real estate demand forecasting based on BERT-BiLSTM and ADL-MIDAS models. [PDF]

Sci Rep
Chen M, Wang J, Zhao F, Jiang G.
europepmc   +1 more source

The association of climate-induced stressors on risk of negative sentiment: An analysis from 462 million geotagged tweets in Europe. [PDF]

iScience
Al-Ahdal T, Barman S, Alahmad B, Dafka S, Gallo E, Ballester J, Sofiev M, Romanello M, Bärnighausen T, Gertz M, Rocklöv J.   +10 more
europepmc   +1 more source

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Dynamic Construction of Dictionaries for Sentiment Classification

2013 International Conference on Cloud and Green Computing, 2013
The sentiment classification is one of the new challenges emerged with the advence of social networks. Our purpose is to determine the sentimental orientation of a Facebook comment (positive or negative) by using the linguistic approach. In most of the sentiment analysis applications using this approach, the sentiment lexicon plays a key role. Thus, it
Salma Jamoussi
exaly   +4 more sources

Generating a sentiment dictionary in R and dictionary-based sentiment analysis in Turkish texts

Digital Scholarship in the Humanities, 2022
Abstract Dictionary-based sentiment analysis is a text mining application that allows comments about the sentimental states of the text or documents through the sentimental poles of the words. In recent years, it has become quite popular in many disciplines such as trade, health, education, usage for various purposes.
Bilal Baris Alkan, Leyla Karakus, Bekir Direkçi   +2 more
openaire   +1 more source