PPT-Social Media Intelligence: Measuring Brand Sentiment from Online Conversations

Author : alexa-scheidler | Published Date : 2018-03-22

David A Schweidel Goizueta Business School Emory University October 2012 Whats Trending on Social Media Agenda Social Dynamics in Social Media Behavior Why do people

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Social Media Intelligence: Measuring Brand Sentiment from Online Conversations: Transcript

David A Schweidel Goizueta Business School Emory University October 2012 Whats Trending on Social Media Agenda Social Dynamics in Social Media Behavior Why do people post a product opinion What influences their posting behavior Moe and . These Social Media Principles should guide your participation in social media both personally as well as when you are acting in an official capacity on behalf of the Company It is critical we always remember who we are h more than 500 sparkling and , OPINIONS, EMOTIONS. Heng. . Ji. jih@rpi.edu. October 22, 2014. Acknowledgement: Some slides from Jan . Wiebe. and . Kavita. . Ganesan. . 2. OUTLINE. Emotion Detection. Subjectivity Overview. Sentiment Analysis. Heng. . Ji. jih@rpi.edu. October . 28, 2015. Acknowledgement: Some slides from Jan . Wiebe. and . Kavita. . Ganesan. . Emotion Examples. A Happy Song? . A Sad Song. ?. http. ://y.qq.com/webplayer/p.html?songList=%5B%5D&type=1&vip=-1&userName=&ipad=0&from=0&singerid=0&encodedUIN=&. BY,. SOWMYA KAMATH,. ANUSHA BAGAL KOTHKAR,. KUMARI POORNIMA,. SHIVAM PANDEY. AND. ASHESH KHANDELWAL. Introduction. Approaches to Sentiment Analysis. Sentiment Analysis Applications. Current development in Sentiment Analysis. Heng. . Ji. jih@rpi.edu. October . 25, 2016. Acknowledgement: Some slides from Jan . Wiebe. and . Kavita. . Ganesan. . Emotion Examples. A Happy Song? . A Sad Song. ?. http. ://y.qq.com/webplayer/p.html?songList=%5B%5D&type=1&vip=-1&userName=&ipad=0&from=0&singerid=0&encodedUIN=&. Adam. Rosenberg, Leandra Irvine, Gus . Logsdon. Twitter: New Huge Microblogging Platform. 2010. Twitter…. Daily Life. Variety of People . Twitter is Useful!. Politics. Marketing. Sentiment Analysis. Awais. . Athar. . &. Simone . Teufel. Sentiment Analysis of Citations. Challenges in Citation Sentiment Analysis. Negative sentiment is ‘politically dangerous’. - (. Z. iman. , . 1968). Personal biases are h. Tola Petgrave. Agenda. Existing Environment. Demographics by Platform. Social Media Overview for ServiceMaster. Identified . Quick Fixes. Best in Class. Competitors. Social Media . Campaign . (service industry). Undergraduate Researchers: Juweek . Adolphe . Ressi . Miranda. Graduate Student Mentor: Zhaoyu Li. Faculty Advisor: Dr. Yi Shang. Slides from Bing Liu and Ronan Feldman. Introduction. Two main types of textual information. . Facts and Opinions. Note: factual statements can imply opinions too.. Most current text information processing methods (e.g., web search, text mining) work with factual information.. Positive or negative movie review?. unbelievably . disappointing . Full of . zany characters and richly applied satire, and some great plot . twists. this is the greatest screwball comedy ever . filmed. and opinion mining. ‹#›. Bettina Berendt. Department of Computer Science. KU Leuven, Belgium. http://people.cs.kuleuven.be/~bettina.berendt/. Vienna Summer School on Digital Humanities. July 7. th. It’s no secret that this world we live in can be pretty stressful sometimes. If you find yourself feeling out-of-sorts, pick up a book.According to a recent study, reading can significantly reduce stress levels. In as little as six minutes, you can reduce your stress levels by 68%. 8. th. Annual Machine Learning in Finance Workshop. September 23, 2022. Ivailo Dimov. Quant Researcher & Data Scientist. Quantitative Research Team, Bloomberg’s CTO Office. Introduction. A News Story.

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