Sentiment Analysis for Social Media
Sentiment analysis is a branch of natural language processing concerned with the study of the intensity of the emotions expressed in a piece of text. The automated analysis of the multitude of messages delivered through social media is one of the hottest research fields, both in academy and in indus...
Պահպանված է:
| Հիմնական հեղինակներ: | , |
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| Ձևաչափ: | Online |
| Լեզու: | անգլերեն |
| Հրապարակվել է: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Խորագրեր: | |
| Առցանց հասանելիություն: | 45980 |
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Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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| _version_ | 1869519942732218368 |
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| author | Moreno, Antonio Iglesias, Carlos A. |
| author_browse | Iglesias, Carlos A. Moreno, Antonio |
| author_facet | Moreno, Antonio Iglesias, Carlos A. |
| author_sort | Moreno, Antonio |
| collection | Directory of Open Access Books |
| description | Sentiment analysis is a branch of natural language processing concerned with the study of the intensity of the emotions expressed in a piece of text. The automated analysis of the multitude of messages delivered through social media is one of the hottest research fields, both in academy and in industry, due to its extremely high potential applicability in many different domains. This Special Issue describes both technological contributions to the field, mostly based on deep learning techniques, and specific applications in areas like health insurance, gender classification, recommender systems, and cyber aggression detection. |
| format | Online |
| id | doab-20.500.12854ir-59238 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-592382024-04-11T15:10:12Z Sentiment Analysis for Social Media Moreno, Antonio Iglesias, Carlos A. TA1-2040 T1-995 opinion mining affect computing health insurance Twitter hybrid vectorization violence against women word association collaborative schemes of sentiment analysis and sentiment systems random forest cyber-aggression deep learning online review emotion analysis lexicon construction provider networks text mining sentiment lexicon social media sentiment-aware word embedding psychographic segmentation medical web forum gender classification racism sentiment analysis sentiment classification sentiment word analysis social networks convolutional neural network review data mining machine learning emotion classification big data-driven marketing text feature representation recommender system user preference prediction violence based on sexual orientation semantic networks thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Sentiment analysis is a branch of natural language processing concerned with the study of the intensity of the emotions expressed in a piece of text. The automated analysis of the multitude of messages delivered through social media is one of the hottest research fields, both in academy and in industry, due to its extremely high potential applicability in many different domains. This Special Issue describes both technological contributions to the field, mostly based on deep learning techniques, and specific applications in areas like health insurance, gender classification, recommender systems, and cyber aggression detection. 2021-02-12T03:23:14Z 2021-02-12T03:23:14Z 2020-06-09 16:38:56 2020 book 45980 9783039285730 9783039285723 https://directory.doabooks.org/handle/20.500.12854/59238 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/2154 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03928-573-0 10.3390/books978-3-03928-573-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039285730 9783039285723 152 open access |
| spellingShingle | TA1-2040 T1-995 opinion mining affect computing health insurance hybrid vectorization violence against women word association collaborative schemes of sentiment analysis and sentiment systems random forest cyber-aggression deep learning online review emotion analysis lexicon construction provider networks text mining sentiment lexicon social media sentiment-aware word embedding psychographic segmentation medical web forum gender classification racism sentiment analysis sentiment classification sentiment word analysis social networks convolutional neural network review data mining machine learning emotion classification big data-driven marketing text feature representation recommender system user preference prediction violence based on sexual orientation semantic networks thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Moreno, Antonio Iglesias, Carlos A. Sentiment Analysis for Social Media |
| title | Sentiment Analysis for Social Media |
| title_full | Sentiment Analysis for Social Media |
| title_fullStr | Sentiment Analysis for Social Media |
| title_full_unstemmed | Sentiment Analysis for Social Media |
| title_short | Sentiment Analysis for Social Media |
| title_sort | sentiment analysis for social media |
| topic | TA1-2040 T1-995 opinion mining affect computing health insurance hybrid vectorization violence against women word association collaborative schemes of sentiment analysis and sentiment systems random forest cyber-aggression deep learning online review emotion analysis lexicon construction provider networks text mining sentiment lexicon social media sentiment-aware word embedding psychographic segmentation medical web forum gender classification racism sentiment analysis sentiment classification sentiment word analysis social networks convolutional neural network review data mining machine learning emotion classification big data-driven marketing text feature representation recommender system user preference prediction violence based on sexual orientation semantic networks thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | TA1-2040 T1-995 opinion mining affect computing health insurance hybrid vectorization violence against women word association collaborative schemes of sentiment analysis and sentiment systems random forest cyber-aggression deep learning online review emotion analysis lexicon construction provider networks text mining sentiment lexicon social media sentiment-aware word embedding psychographic segmentation medical web forum gender classification racism sentiment analysis sentiment classification sentiment word analysis social networks convolutional neural network review data mining machine learning emotion classification big data-driven marketing text feature representation recommender system user preference prediction violence based on sexual orientation semantic networks thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | 45980 |
| work_keys_str_mv | AT morenoantonio sentimentanalysisforsocialmedia AT iglesiascarlosa sentimentanalysisforsocialmedia |