Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Kamal Sarkar"'
Autor:
Kamal Sarkar, SHUVERTHI MAITY
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 21:1-35
Sentiment analysis of public opinions on social networks, such as Twitter or Facebook, can provide us with valuable information, which has a wide range of applications. But the efficiency and accuracy of the automated methods for Twitter sentiment an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b61725e4e67fcada4da97be8d6e05af
https://doi.org/10.1145/3519297
https://doi.org/10.1145/3519297
Autor:
Sohini Roy Chowdhury, Kamal Sarkar
Publikováno v:
SN Computer Science. 4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46512ce6ebc103bb6a2b5111904a13da
https://doi.org/10.1007/s42979-023-01806-0
https://doi.org/10.1007/s42979-023-01806-0
Autor:
Santanu Dam, Kamal Sarkar
Publikováno v:
International Journal of Information Retrieval Research. 12:1-18
The traditional frequency based approach to creating multi-document extractive summary ranks sentences based on scores computed by summing up TF*IDF weights of words contained in the sentences. In this approach, TF or term frequency is calculated bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d5c3ad734d2c9bccb863f6ed01da02f
https://doi.org/10.4018/ijirr.289607
https://doi.org/10.4018/ijirr.289607
Autor:
Kaushik Bose, Kamal Sarkar
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811901041
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98b1f991e7d91bb550a336453585168b
https://doi.org/10.1007/978-981-19-0105-8_55
https://doi.org/10.1007/978-981-19-0105-8_55
Autor:
Kamal Sarkar
Publikováno v:
Journal of Intelligent Systems, Vol 28, Iss 3, Pp 377-386 (2019)
Sentiment polarity detection is one of the most popular sentiment analysis tasks. Sentiment polarity detection in tweets is a more difficult task than sentiment polarity detection in review documents, because tweets are relatively short and they cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afc7b65b73a1c4bf02973f91a0c88268
https://doi.org/10.1515/jisys-2017-0418
https://doi.org/10.1515/jisys-2017-0418
Publikováno v:
Inorganica Chimica Acta. 488:125-130
1-Alkyl-2-(arylazo)imidazole (RaaiR/), a bidentate N(azo), N(imidazolyl) chelator, and bis(diphenylphosphino)methane (dppm), a P, P bridger, have been used to prepare phosphino bridged dinuclear-Cu(I) complexes, [Cu(μ-dppm)(RaaiR/)]2(ClO4)2. The str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82874bf69a26373149ad7890dacad29b
https://doi.org/10.1016/j.ica.2019.01.011
https://doi.org/10.1016/j.ica.2019.01.011
Autor:
Sohini Roy Chowdhury, Kamal Sarkar
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811578335
Saliency based sentence ranking is a basic step of extractive text summarization. Saliency of a sentence is often measured based on the important words that the sentence contains. One of the drawbacks of such saliency-based sentence extraction method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6879186b9810011a959056a28372bc34
https://doi.org/10.1007/978-981-15-7834-2_16
https://doi.org/10.1007/978-981-15-7834-2_16
Publikováno v:
2012 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfc17b20d98dc27779e80fdfd7dfcac4
https://doi.org/10.18260/1-2--21222
https://doi.org/10.18260/1-2--21222
Autor:
Kamal Sarkar
Publikováno v:
Sādhanā. 45
Sentiment analysis is an essential step for analysing social media texts such as tweets and other posts on the various micro-blogging sites. The basic step of sentiment analysis is sentiment polarity detection, which identifies whether an input piece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25a1b5b4f4a9427b4cd21b062448cf47
https://doi.org/10.1007/s12046-020-01424-z
https://doi.org/10.1007/s12046-020-01424-z
Autor:
Kamal Sarkar
Publikováno v:
IFIP Advances in Information and Communication Technology
3rd International Conference on Computational Intelligence in Data Science (ICCIDS)
3rd International Conference on Computational Intelligence in Data Science (ICCIDS), Feb 2020, Chennai, India. pp.71-84, ⟨10.1007/978-3-030-63467-4_6⟩
IFIP Advances in Information and Communication Technology ISBN: 9783030634667
3rd International Conference on Computational Intelligence in Data Science (ICCIDS)
3rd International Conference on Computational Intelligence in Data Science (ICCIDS), Feb 2020, Chennai, India. pp.71-84, ⟨10.1007/978-3-030-63467-4_6⟩
IFIP Advances in Information and Communication Technology ISBN: 9783030634667
Part 1: Computational Intelligence for Text Analysis; International audience; Sentiment analysis is the research area that deals with analysis of sentiments expressed in the social media texts written by the internet users. Sentiments of the users ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56638440e39892e72a49f1244ead78bc
https://hal.inria.fr/hal-03434785/file/507484_1_En_6_Chapter.pdf
https://hal.inria.fr/hal-03434785/file/507484_1_En_6_Chapter.pdf