Results 241 to 250 of about 218,652 (304)

Staging an Experience of Cultural Heritage Preservation: Consumers' Willingness to Pay for Heirloom Rice in the Philippines

Agribusiness, EarlyView.
ABSTRACT The Cordillera Administrative Region in the Philippines is home to terraced rice embedded in centuries of cultural heritage. However, weak market incentives threaten sustained production, jeopardizing indigenous communities' cultural heritage and the in situ biodiversity of rice genetic resources.
Kofi Britwum, Matty Demont
wiley   +1 more source

An Image-based Global Climate Sentiment Index. [PDF]

Sci Data
Zhai X, Zhang Y, Zhang S, Guo K, Zhang D, Ji Q.   +5 more
europepmc   +1 more source

Sleepless in America: A social sensing study of pandemic-era sleeplessness using nighttime social media data. [PDF]

PLoS One
Gong X, Liu L, Lu Y, Zhang G, Huang X, Lin Y.   +5 more
europepmc   +1 more source

Analysing Emotional Well-Being in Cancer Patients: A Natural Language Processing Approach to Correlating Text with Hospital Anxiety and Depression Scale Scores. [PDF]

Curr Oncol
Alemdar MS, Bozcuk HŞ.
europepmc   +1 more source

The mechanism of generative AI's construction of cultural identity: an empirical study based on Generation Z's social media behavior. [PDF]

Front Psychol
Liang J, Li Y, Xiong Z.
europepmc   +1 more source

Gender and disciplinary differences in grant proposal peer review: Content and sentiment in 39,280 reports. [PDF]

PLoS One
Müller S, Okasa G, Strinzel M, Jorstad A, Milzow K, Egger M.   +5 more
europepmc   +1 more source

Medical students' attitudes toward socioscientific issues in female reproductive anatomy teaching: a cross-sectional study. [PDF]

BMC Med Educ
Kou ZZ, Gu J, Wu Y, Tian M, Li Y, Li YQ.
europepmc   +1 more source

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Sentiment Embeddings with Applications to Sentiment Analysis

IEEE Transactions on Knowledge and Data Engineering, 2016
We propose learning sentiment-specific word embeddings dubbed sentiment embeddings in this paper. Existing word embedding learning algorithms typically only use the contexts of words but ignore the sentiment of texts. It is problematic for sentiment analysis because the words with similar contexts but opposite sentiment polarity, such as good and ...
Bing Qin, Furu Wei, Nan Yang
exaly   +2 more sources

Sentiment and sentimental agent identification based on sentimental sentence dictionary

2008 International Conference on Natural Language Processing and Knowledge Engineering, 2008
This paper presents a method of sentiment and sentimental agent identification based on Chinese sentimental sentence dictionary. Our method can identify eight kinds of sentiment (including joy, sorrow, love, disgust, surprise, anxiety, anger and hate), and the main sentimental agent.
Dong Liu, Changqin Quan, Fuji Ren, Peng Chen   +3 more
openaire   +2 more sources