{"id":3424,"date":"2020-07-03T11:28:32","date_gmt":"2020-07-03T11:28:32","guid":{"rendered":"https:\/\/www.enginius.biz\/index.php\/models\/bass-2\/"},"modified":"2023-07-25T17:00:50","modified_gmt":"2023-07-25T17:00:50","slug":"sentiment","status":"publish","type":"page","link":"https:\/\/www.enginius.biz\/index.php\/models\/sentiment\/","title":{"rendered":"Sentiment analysis"},"content":{"rendered":"\t\t
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Sentiment analysis<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Sentiment analysis refers to a body of computational techniques to extract and categorize affect (e.g., positive or negative states) and emotions (e.g., joy, surprise) contained in text, audio, and other types of data.\u00a0 It is used by businesses to analyze and understand the affect and emotions embedded in social media content such as comments, tweets, posts and blogs about their brands, products and services.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Try it!<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Test sentiment analysis on a sample data set and see for yourself<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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LOGIN \/ REGISTER <\/i><\/a><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Key features<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Word cloud<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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A word cloud shows the relative frequencies of words within a corpus of textual data (e.g., user posts). Words with higher frequencies of occurrence in the corpus are placed at the center of cloud and are bigger or bolder.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Valence analysis<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Valence analysis uses a dictionary to determine the polarity of words, sentences, and the entire corpus by assigning them to various affective states such as \u201cpositive,\u201d \u201cnegative,\u201d and \u201cneutral.\u201d A textual segment (e.g., a post) with more positive words than negative words is classified as a positive segment.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Emotion analysis<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Emotion analysis uses a dictionary to classify textual segments into six emotion categories \u2013 anger, disgust, fear, joy, sadness and surprise.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Website scraping<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Text from one or more web pages can also be used as a corpus for sentiment analysis. Each sentence in a corpus is considered as a post.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Case studies<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\n\t\t\t\tRobinhood case study (sentiment)\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t
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Planning Robinhood\u2019s Response to the GameStop Debacle (sentiment analysis) Try it! Set in 2021, the\u00a0Robinhood case tracks the sentiments expressed via Twitter as Robinhood (the<\/p>\n\t\t<\/div>\n\t\t\n\t\t\n\t\t\tRead More \u00bb\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t<\/article>\n\t\t\t\t

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\"Mobile<\/div>\n\t\t<\/a>\n\t\t\t\t
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\n\t\t\t\n\t\t\t\tMobile Game Apps case study (panel, sentiment)\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t
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Mobile Games (sentiment analysis) Try it! Set in 2014, Mobile Apps is a case about the mobile app games market.\u00a0 It requires the application of<\/p>\n\t\t<\/div>\n\t\t\n\t\t\n\t\t\tRead More \u00bb\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t<\/article>\n\t\t\t\t<\/div>\n\t\t\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Sentiment analysis Sentiment analysis refers to a body of computational techniques to extract and categorize affect (e.g., positive or negative states) and emotions (e.g., joy, surprise) contained in text, audio, and other types of data.\u00a0 It is used by businesses to analyze and understand the affect and emotions embedded in social media content such as … <\/p>\n

Continue reading “Mobile Game Apps case study (panel, sentiment)”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":521,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"yst_prominent_words":[984,459,458,1003,460,456,454,378,455,1000,83,461,991,615,821,172,422,364,219,997],"class_list":["post-3424","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/pages\/3424","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/comments?post=3424"}],"version-history":[{"count":0,"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/pages\/3424\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/pages\/521"}],"wp:attachment":[{"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/media?parent=3424"}],"wp:term":[{"taxonomy":"yst_prominent_words","embeddable":true,"href":"https:\/\/www.enginius.biz\/index.php\/wp-json\/wp\/v2\/yst_prominent_words?post=3424"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}