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المؤلفKhan, Habib Ullah
المؤلفPeacock, Duncan
تاريخ الإتاحة2020-08-18T08:34:14Z
تاريخ النشر2019
اسم المنشورInternational Journal of Work Organisation and Emotion
المصدرScopus
الرقم المعياري الدولي للكتاب17408938
معرّف المصادر الموحدhttp://dx.doi.org/10.1504/IJWOE.2019.104297
معرّف المصادر الموحدhttp://hdl.handle.net/10576/15548
الملخصWork organisations are increasingly interested in using sentiment analysis algorithms to get rapid feedback from microblogging platforms such as Twitter. However, real-life posts can differ from the training data. The subject domain may vary or and emojis and emoticons used to clarify, enhance or even reverse the sentiment of a post. This paper studies the effect of emojis, emoticons and subject on polarity classification using nine tweet-related sentiment analysis web services. A web application was developed to extract from the live Twitter stream, and twelve specific research test sets were created. These were labelled by volunteers, uploaded back into the application and then compared against nine different sentiment analysis web services using two- and three-class accuracy measures. Distinct differences were found in the performance of the sentiment analysis web services of organisations. Sentiment analysis web services can vary significantly in classification performance depending and the effect of emoticons and emojis. Copyright - 2019 Inderscience Enterprises Ltd.
اللغةen
الناشرInderscience Enterprises Ltd.
الموضوعBenchmark
Comparison
Emojis
Emoticons
Polarity classification
Sentiment analysis
Twitter
Web services
العنوانPossible effects of emoticon and emoji on sentiment analysis web services of work organisations
النوعConference Paper
الصفحات130-161
رقم العدد2
رقم المجلد10
dc.accessType Abstract Only


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