Results 231 to 240 of about 926,604 (274)

Emotional and sentiment analyses of MSM geo-social networking app users in Shenzhen: implications for mental health interventions. [PDF]

BMC Public Health
Hu L, Li J, Liu H, Fu T, Hou F.
europepmc   +1 more source

Intelligent classification and dynamic evolution simulation study on air conditioner product demand characteristics. [PDF]

Sci Rep
Wu Z, Liang C, Zhang S, Chen Z, Shen Z.
europepmc   +1 more source

User perceptions of RBI-approved P2P digital lending apps: an NLP, machine learning, and deep learning approach. [PDF]

Front Artif Intell
Sekhar KR, Saheb SS.
europepmc   +1 more source

Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context

Agribusiness, EarlyView.
Alexis H. Villacis
wiley   +1 more source

Breast Cancer Screening Knowledge and Sentiments in Singaporean Women: Mixed Methods Study Using Topic Modeling, Sentiment Analysis, and Structured Questionnaire Data.

J Med Internet Res
Ho PJ, Lim ZL, Liu J, Mohamed Riza NK, Chew YJ, Lim YY, Tan HL, Goh SA, Oh HB, Chin CH, Kwek SC, Zhang ZP, Ong DLS, Quek ST, Wijerathne S, Iau PTC, Hartman M, Li J.   +17 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Sentiment Analysis Using Sentiment Features

2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013
Sentiment Analysis (SA) or opinion mining has recently become the focus of many researchers, because analysis of online text is beneficial and demanded for market research, scientific surveys from psychological and sociological perspective, political polls, business intelligence, enhancement of online shopping infrastructures, etc.
Seyed-Ali Bahrainian, Andreas Dengel
openaire   +1 more source

Sentiment analysis: Arabic sentiment lexicons

2017 Sensors Networks Smart and Emerging Technologies (SENSET), 2017
Sentiment Analysis is the process of identifying sentiment from text written in a natural language with respect to the entity it is referring to. Sentiment lexicons are used to perform this task. Several lexicons are available to perform this task in English using WordNet.
Khaled S. Sabra, Rached N. Zantout, Mohamad A. El Abed, Lama Hamandi   +3 more
openaire   +1 more source

Premature sentiments

Nursing Standard, 1988
While I found myself nodding in agreement with the sentiments of your editorial (Nursing Standard August 20, 1988), aren't you 'jumpinq the qun' just a little?
openaire   +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   +1 more source