Social media analytics: Literature review and directions for future research
AK Rathore, AK Kar, PV Ilavarasan - Decision Analysis, 2017 - pubsonline.informs.org
Businesses are currently using social media analytics (SMA) to develop insights for
improving performance and productivity across different functions. The SMA knowledge is …
improving performance and productivity across different functions. The SMA knowledge is …
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
A Saha, V Sindhwani - Proceedings of the fifth ACM international …, 2012 - dl.acm.org
As massive repositories of real-time human commentary, social media platforms have
arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis …
arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis …
Exploiting emoticons in sentiment analysis
A Hogenboom, D Bal, F Frasincar, M Bal… - Proceedings of the 28th …, 2013 - dl.acm.org
As people increasingly use emoticons in text in order to express, stress, or disambiguate
their sentiment, it is crucial for automated sentiment analysis tools to correctly account for …
their sentiment, it is crucial for automated sentiment analysis tools to correctly account for …
Pre-and post-launch emotions in new product development: Insights from twitter analytics of three products
AK Rathore, PV Ilavarasan - International Journal of Information …, 2020 - Elsevier
The paper showcases the possible application of social media analytics in new product
development (NPD). It compares users' emotions before and after the launch of three new …
development (NPD). It compares users' emotions before and after the launch of three new …
Business social media analytics: Characterization and conceptual framework
A substantial portion of internet usage today involves social media applications. Aside from
personal use, given the vast amount of content stored, and rapid diffusion of information, in …
personal use, given the vast amount of content stored, and rapid diffusion of information, in …
Extracting and evaluating conversational patterns in social media: A socio-semantic analysis of customers' reactions to the launch of new products using Twitter …
In this paper we use Twitter data to assess customers early reactions to the launch of two
new products by Apple and Samsung by analyzing the streams generated in a 72 h window …
new products by Apple and Samsung by analyzing the streams generated in a 72 h window …
A computational model for mining consumer perceptions in social media
Abstract The proliferation of Big Data & Analytics in recent years has compelled marketing
practitioners to search for new methods when faced with assessing brand performance …
practitioners to search for new methods when faced with assessing brand performance …
Emerging topic detection using dictionary learning
Streaming user-generated content in the form of blogs, microblogs, forums, and multimedia
sharing sites, provides a rich source of data from which invaluable information and insights …
sharing sites, provides a rich source of data from which invaluable information and insights …
Exploiting emoticons in polarity classification of text
A Hogenboom, D Bal, F Frasincar… - Journal of Web …, 2015 - journals.riverpublishers.com
With people increasingly using emoticons in written text on the Web in order to ex-press,
stress, or disambiguate their sentiment, it is crucial for automated sentiment analysis tools to …
stress, or disambiguate their sentiment, it is crucial for automated sentiment analysis tools to …
Topical semantics of twitter links
Twitter, a micro-blogging platform with an estimated 20 million unique monthly visitors and
over 100 million registered users, offers an abundance of rich, structured data at a rate …
over 100 million registered users, offers an abundance of rich, structured data at a rate …