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Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1851 3
1860 1
1861 1
1877 1
1880 1
1882 1
1885 2
1888 1
1890 2
1892 20
1893 2
1895 2
1896 1
1898 1
1900 1
1901 1
1902 4
1904 2
1905 2
1908 1
1911 1
1912 3
1913 7
1915 6
1916 2
1917 2
1918 3
1919 1
1920 1
1921 2
1924 4
1926 1
1928 1
1930 2
1931 1
1935 4
1937 2
1938 2
1939 3
1940 1
1942 2
1943 2
1944 3
1945 11
1946 40
1947 38
1948 51
1949 50
1950 46
1951 57
1952 69
1953 65
1954 82
1955 89
1956 79
1957 87
1958 92
1959 89
1960 122
1961 117
1962 107
1963 168
1964 275
1965 490
1966 480
1967 750
1968 1171
1969 1239
1970 1404
1971 1969
1972 2351
1973 2711
1974 2845
1975 2933
1976 2900
1977 3212
1978 3494
1979 3656
1980 3444
1981 3116
1982 3476
1983 3424
1984 3666
1985 3806
1986 3877
1987 4044
1988 4562
1989 5347
1990 6250
1991 7185
1992 7482
1993 8253
1994 8565
1995 8730
1996 9367
1997 10566
1998 11187
1999 12094
2000 12299
2001 13437
2002 14176
2003 16173
2004 17839
2005 19569
2006 21623
2007 23095
2008 24164
2009 24995
2010 26950
2011 27177
2012 28839
2013 30797
2014 32109
2015 32825
2016 32184
2017 32387
2018 33535
2019 33727
2020 31222
2021 26431
2022 21227
2023 17050
2024 4678
2025 1

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689,333 results

Results by year

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Page 1
Sentiment analysis of clinical narratives: A scoping review.
Denecke K, Reichenpfader D. Denecke K, et al. J Biomed Inform. 2023 Apr;140:104336. doi: 10.1016/j.jbi.2023.104336. Epub 2023 Mar 22. J Biomed Inform. 2023. PMID: 36958461 Free article. Review.
A clinical sentiment is a judgment, thought or attitude promoted by an observation with respect to the health of an individual. ...Most studies apply general domain tools (e.g. TextBlob) and sentiment lexicons (e.g. SentiWordNet) for realizing use cases such …
A clinical sentiment is a judgment, thought or attitude promoted by an observation with respect to the health of an individual …
COVID-19 pandemic: a sentiment analysis.
Kumar A, Khan SU, Kalra A. Kumar A, et al. Eur Heart J. 2020 Oct 14;41(39):3782-3783. doi: 10.1093/eurheartj/ehaa597. Eur Heart J. 2020. PMID: 32678890 Free PMC article. Review. No abstract available.
Investor sentiment-aware prediction model for P2P lending indicators based on LSTM.
Cui Y, Liu L. Cui Y, et al. PLoS One. 2022 Jan 27;17(1):e0262539. doi: 10.1371/journal.pone.0262539. eCollection 2022. PLoS One. 2022. PMID: 35085306 Free PMC article. Review.
The timely assessment and prediction of the status of industry indicators is an important prerequisite for effectively preventing the spread of risks in China's new financial formats. The role of investor sentiment should not be underestimated. We first use the BERT model …
The timely assessment and prediction of the status of industry indicators is an important prerequisite for effectively preventing the spread …
Tweet sentiment quantification: An experimental re-evaluation.
Moreo A, Sebastiani F. Moreo A, et al. PLoS One. 2022 Sep 16;17(9):e0263449. doi: 10.1371/journal.pone.0263449. eCollection 2022. PLoS One. 2022. PMID: 36112639 Free PMC article.
Sentiment quantification is the task of training, by means of supervised learning, estimators of the relative frequency (also called "prevalence") of sentiment-related classes (such as Positive, Neutral, Negative) in a sample of unlabelled texts. This task is especi
Sentiment quantification is the task of training, by means of supervised learning, estimators of the relative frequency (also called
Evaluating Sentiment, Engagement, and Perception of Biologics Among Patients with Psoriasis and Psoriatic Arthritis on Reddit.
Maynard N, Yee D, Carranza C, Mehta M, Reddy R, Zagona-Prizio C, Khan S, Khan S, Armstrong A. Maynard N, et al. J Drugs Dermatol. 2023 Mar 1;22(3):306-309. doi: 10.36849/JDD.7124. J Drugs Dermatol. 2023. PMID: 36877885
The mean sentiment score, defined as the average of all posts' sentiment scores (where negative=-1, neutral=0, and positive=1), was overall positive at 0.47, 95% CI [.41-.52]. Mean sentiment scores between LOTs were significantly different (P<0.001). . …
The mean sentiment score, defined as the average of all posts' sentiment scores (where negative=-1, neutral=0, and positive=1) …
Sentiment Analysis and Emotion Recognition from Speech Using Universal Speech Representations.
Atmaja BT, Sasou A. Atmaja BT, et al. Sensors (Basel). 2022 Aug 24;22(17):6369. doi: 10.3390/s22176369. Sensors (Basel). 2022. PMID: 36080828 Free PMC article.
The study of understanding sentiment and emotion in speech is a challenging task in human multimodal language. ...The models failed to make accurate predictionsin an emotion recognition task and in sentiment analysis tasks with higher numbers of classes. The unbalan …
The study of understanding sentiment and emotion in speech is a challenging task in human multimodal language. ...The models failed t …
Sentiment analysis of the Twitter response to Netflix's Our Planet documentary.
Acerbi A, Burns J, Cabuk U, Kryczka J, Trapp B, Valletta JJ, Mesoudi A. Acerbi A, et al. Conserv Biol. 2023 Aug;37(4):e14060. doi: 10.1111/cobi.14060. Epub 2023 Apr 10. Conserv Biol. 2023. PMID: 36661052
We analyzed the emotional content of over 2 million tweets related to Our Planet, a major nature documentary released on Netflix, with dictionary and rule-based automatic sentiment analysis. We also compared the sentiment associated with species mentioned in Our Pla …
We analyzed the emotional content of over 2 million tweets related to Our Planet, a major nature documentary released on Netflix, with dicti …
Sentiment Analysis: An ERNIE-BiLSTM Approach to Bullet Screen Comments.
Hsieh YH, Zeng XP. Hsieh YH, et al. Sensors (Basel). 2022 Jul 13;22(14):5223. doi: 10.3390/s22145223. Sensors (Basel). 2022. PMID: 35890903 Free PMC article.
Sentiment analysis is one of the fields of affective computing, which detects and evaluates people's psychological states and sentiments through text analysis. ...Hence, it is important to understand how we can use the characteristics of bullet screen comments and
Sentiment analysis is one of the fields of affective computing, which detects and evaluates people's psychological states and sent
Sentiment annotations for 3827 simplified Chinese characters.
Peng C, Xu X, Bao Z. Peng C, et al. Behav Res Methods. 2024 Feb;56(2):651-666. doi: 10.3758/s13428-023-02068-7. Epub 2023 Feb 8. Behav Res Methods. 2024. PMID: 36754941
Sentiment analysis in Chinese natural language processing has been largely based on words annotated with sentiment categories or scores. ...These ratings for characters, expanding current Chinese sentiment lexicons, can be utilized for the purposes of more pr
Sentiment analysis in Chinese natural language processing has been largely based on words annotated with sentiment categories
Analyzing public sentiment toward GMOs via social media between 2019-2021.
Sohi M, Pitesky M, Gendreau J. Sohi M, et al. GM Crops Food. 2023 Dec 31;14(1):1-9. doi: 10.1080/21645698.2023.2190294. GM Crops Food. 2023. PMID: 36947744 Free PMC article.
In order to better understand overall public sentiment toward GMO-based foods, a Boolean search was created using a commercial web-crawling service to collect and analyze public sentiment of GMOs across multiple social media and web-based services from May 1, 2019, …
In order to better understand overall public sentiment toward GMO-based foods, a Boolean search was created using a commercial web-cr …
689,333 results
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