Social media analytics: Literature review and directions for future research
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
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
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
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
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 …