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Items: 1 to 20 of 101

1.

Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning.

Yang M, Jiang Q, Shen Y, Wu Q, Zhao Z, Zhou W.

Neural Netw. 2019 Jun 3;117:240-248. doi: 10.1016/j.neunet.2019.05.021. [Epub ahead of print]

PMID:
31195206
2.

A global optimization approach to multi-polarity sentiment analysis.

Li X, Li J, Wu Y.

PLoS One. 2015 Apr 24;10(4):e0124672. doi: 10.1371/journal.pone.0124672. eCollection 2015.

3.

Using Linked Data for polarity classification of patients' experiences.

Noferesti S, Shamsfard M.

J Biomed Inform. 2015 Oct;57:6-19. doi: 10.1016/j.jbi.2015.06.017. Epub 2015 Jul 23.

4.

Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis.

Yu H, Shang J, Hsu M, Castellanos M, Han J.

Proc ACM Int Conf Inf Knowl Manag. 2016 Oct;2016:939-948. doi: 10.1145/2983323.2983793.

5.

Incorporating conditional random fields and active learning to improve sentiment identification.

Zhang K, Xie Y, Yang Y, Sun A, Liu H, Choudhary A.

Neural Netw. 2014 Oct;58:60-7. doi: 10.1016/j.neunet.2014.04.005. Epub 2014 May 10.

PMID:
24856246
6.

A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words.

Wang B, Huang Y, Wu X, Li X.

Comput Intell Neurosci. 2015;2015:525437. doi: 10.1155/2015/525437. Epub 2015 Apr 23.

7.

Malay sentiment analysis based on combined classification approaches and Senti-lexicon algorithm.

Al-Saffar A, Awang S, Tao H, Omar N, Al-Saiagh W, Al-Bared M.

PLoS One. 2018 Apr 23;13(4):e0194852. doi: 10.1371/journal.pone.0194852. eCollection 2018.

8.

Discovering Fine-grained Sentiment in Suicide Notes.

Wang W, Chen L, Tan M, Wang S, Sheth AP.

Biomed Inform Insights. 2012;5(Suppl. 1):137-45. doi: 10.4137/BII.S8963. Epub 2012 Jan 30.

9.

Improving the performance of lexicon-based review sentiment analysis method by reducing additional introduced sentiment bias.

Han H, Zhang Y, Zhang J, Yang J, Zou X.

PLoS One. 2018 Aug 24;13(8):e0202523. doi: 10.1371/journal.pone.0202523. eCollection 2018.

10.

"When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets.

Daniulaityte R, Chen L, Lamy FR, Carlson RG, Thirunarayan K, Sheth A.

JMIR Public Health Surveill. 2016 Oct 24;2(2):e162.

11.

Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples.

Wei XS, Wang P, Liu L, Shen C, Wu J.

IEEE Trans Image Process. 2019 Jul 1. doi: 10.1109/TIP.2019.2924811. [Epub ahead of print]

PMID:
31265400
12.

Understanding Users' Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques.

Li Q, Wang C, Liu R, Wang L, Zeng DD, Leischow SJ.

J Med Internet Res. 2018 Aug 15;20(8):e252. doi: 10.2196/jmir.9373.

13.

Sentiment Analysis on Tweets about Diabetes: An Aspect-Level Approach.

Salas-Zárate MD, Medina-Moreira J, Lagos-Ortiz K, Luna-Aveiga H, Rodríguez-García MÁ, Valencia-García R.

Comput Math Methods Med. 2017;2017:5140631. doi: 10.1155/2017/5140631. Epub 2017 Feb 19.

14.

Intelligent topical sentiment analysis for the classification of e-learners and their topics of interest.

Ravichandran M, Kulanthaivel G, Chellatamilan T.

ScientificWorldJournal. 2015;2015:617358. doi: 10.1155/2015/617358. Epub 2015 Mar 18.

15.

Lexicon-enhanced sentiment analysis framework using rule-based classification scheme.

Asghar MZ, Khan A, Ahmad S, Qasim M, Khan IA.

PLoS One. 2017 Feb 23;12(2):e0171649. doi: 10.1371/journal.pone.0171649. eCollection 2017.

16.

Fine-grained leukocyte classification with deep residual learning for microscopic images.

Qin F, Gao N, Peng Y, Wu Z, Shen S, Grudtsin A.

Comput Methods Programs Biomed. 2018 Aug;162:243-252. doi: 10.1016/j.cmpb.2018.05.024. Epub 2018 May 22.

PMID:
29903491
17.

Confirm or refute?: A comparative study on citation sentiment classification in clinical research publications.

Kilicoglu H, Peng Z, Tafreshi S, Tran T, Rosemblat G, Schneider J.

J Biomed Inform. 2019 Mar;91:103123. doi: 10.1016/j.jbi.2019.103123. Epub 2019 Feb 10.

PMID:
30753947
18.

Extracting features with medical sentiment lexicon and position encoding for drug reviews.

Liu S, Lee I.

Health Inf Sci Syst. 2019 May 30;7(1):11. doi: 10.1007/s13755-019-0072-6. eCollection 2019 Dec.

PMID:
31168364
19.

Learning Structural Representations via Dynamic Object Landmarks Discovery for Sketch Recognition and Retrieval.

Zhang H, She P, Liu Y, Gan J, Cao X, Foroosh H.

IEEE Trans Image Process. 2019 Apr 19. doi: 10.1109/TIP.2019.2910398. [Epub ahead of print]

PMID:
31021764
20.

Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data.

Du J, Xu J, Song HY, Tao C.

BMC Med Inform Decis Mak. 2017 Jul 5;17(Suppl 2):69. doi: 10.1186/s12911-017-0469-6.

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