{"id":84254,"date":"2017-06-30T11:28:00","date_gmt":"2017-06-30T08:28:00","guid":{"rendered":"https:\/\/www.technion.ac.il\/blog\/when-great-is-not-good-at-all\/"},"modified":"2017-06-30T11:28:00","modified_gmt":"2017-06-30T08:28:00","slug":"when-great-is-not-good-at-all","status":"publish","type":"post","link":"https:\/\/www.technion.ac.il\/en\/blog\/when-great-is-not-good-at-all\/","title":{"rendered":"When “Great” is Not Good At All."},"content":{"rendered":"

WHAT EXACTLY DO YOU MEAN WHEN YOU SAY \u201cBEST\u201d?<\/b><\/span><\/p>\n

Technion student develops system that interprets sarcasm on Twitter, and translates it into sarcasm-free language.<\/i><\/b><\/span><\/p>\n

\"\"<\/a>
Sarcasm e-moji<\/figcaption><\/figure>\n

Researchers in the Technion Faculty of Industrial Engineering and Management have developed a system for interpreting sarcastic statements in social media. The system, developed by graduate student Lotam Peled, under the guidance of Assistant Professor Roi Reichart, is called Sarcasm SIGN (sarcasm Sentimental Interpretation GeNerator).<\/span><\/p>\n

\u201cThere are a lot of systems designed to identify sarcasm, but this is the first that is able to interpret sarcasm in written text,\u201d said Peled. \u201cWe hope in the future, it will help people with autism and Asperger\u2019s, who have difficulty interpreting sarcasm, irony and humor.\u201d<\/span><\/p>\n

Based on machine translation, the new system turns sarcastic sentences into honest (non-sarcastic) ones. It will, for example, turn a sarcastic sentence such as, \u201cThe new \u2018Fast and Furious\u2019 movie is awesome. #sarcasm\u201d into the honest sentence, \u201cThe new Fast and Furious movie is terrible.\u201d<\/span><\/p>\n

Despite the vast development in this field, and the successes of sentiment analysis applications on \u201csocial media intelligence,\u201d existing applications do not know how to interpret sarcasm, where the writer writes the opposite of what (s)he actually means.<\/span><\/p>\n

In order to teach the system to produce accurate interpretations, the researchers compiled a database of 3,000 sarcastic tweets that were tagged with #sarcasm, where each tweet was interpreted into a non-sarcastic expression by five human experts. In addition, the system was trained to identify words with strong sarcastic sentiments \u2013 for example, the word \u201cbest\u201d in the tweet, \u201cbest day ever\u201d \u2013 and to replace them with strong words that reveal the true meaning of the text. The system was examined by a number of (human) judges, who gave its interpretations high scores of fluency and adequacy,\u00a0agreeing that in most cases it produced a semantically and linguistically correct sentence.<\/span><\/p>\n

Automatic identification and analysis of sentiment in text is a very complex challenge being explored by many researchers around the world because of its commercial potential and scientific importance. Sentiment identification could be used in social, commercial, and other applications to improve communication between people and computers, and between social media users.<\/span><\/p>\n

\n","protected":false},"excerpt":{"rendered":"

WHAT EXACTLY DO YOU MEAN WHEN YOU SAY \u201cBEST\u201d? Technion student develops system that interprets sarcasm on Twitter, and translates it into sarcasm-free language. Researchers in the Technion Faculty of Industrial Engineering and Management have developed a system for interpreting sarcastic statements in social media. The system, developed by graduate student Lotam Peled, under the… Continue Reading When “Great” is Not Good At All.<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[24],"tags":[],"class_list":["post-84254","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"acf":[],"yoast_head":"\nWhen "Great" is Not Good At All. - \u05d4\u05d8\u05db\u05e0\u05d9\u05d5\u05df-\u05de\u05db\u05d5\u05df \u05d8\u05db\u05e0\u05d5\u05dc\u05d5\u05d2\u05d9 \u05dc\u05d9\u05e9\u05e8\u05d0\u05dc<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.technion.ac.il\/en\/blog\/when-great-is-not-good-at-all\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"When "Great" is Not Good At All. - \u05d4\u05d8\u05db\u05e0\u05d9\u05d5\u05df-\u05de\u05db\u05d5\u05df \u05d8\u05db\u05e0\u05d5\u05dc\u05d5\u05d2\u05d9 \u05dc\u05d9\u05e9\u05e8\u05d0\u05dc\" \/>\n<meta property=\"og:description\" content=\"WHAT EXACTLY DO YOU MEAN WHEN YOU SAY \u201cBEST\u201d? 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