Social analytics has been in the news again with Twitter’s recent acquisition of Gnip. There appears to be a consensus that hidden within the mass of social data are insights that can provide companies with a competitive edge. However, drawing out these insights is not easy despite the range of social analytics tools that exist. This week in SMToolbox, I […]
Stock Market Bad Day, But Only Down 0.08% for the WeekStock-Markets / Stock Markets 2014Apr 26, 2014 – 06:09 PM GMTBy: PhilStockWorld
Courtesy of Doug Short:
This morning’s Consumer Sentiment for April was surprisingly upbeat, but the market had a bad day today, with NASDAQ’s Amazon (AMZN) down a whopping 9.88%. The S&P 500 opened in the shallow […]
Apologies for cross-posting,
Submissions are invited for MASALA (Machine-learning Approaches to Sentiment
Analysis and Learning Algorithms), an ICML14 workshop exploring the new
frontiers of big data computing for opinion mining through machine-learning
techniques and sentiment learning methods. For more information, please visit:
http://sentic.net/masala
RATIONALE
The distillation of knowledge from social media is an extremely difficult task
as the content of today’s Web, while perfectly suitable for human consumption,
remains […]
Social Media AnalysisPosted by John WinkleOne of the most valuable insights gained from social listening is sentiment surrounding your brand. What do people like about your products and services? What ticks them off? What do they not care about? Where is sentiment about your brand headed? What do these same people think about your competitors?Accurate analysis can provide a wealth […]
LinkedIn0Google+0Facebook0Sentiment Analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. – Wikipedia.orgThere are two models widely used in automatic sentiment analysis.Linguistic ResourcesThe model most frequently used in commercial applications is based on linguistic resources and the other is based on machine […]
Highlights from Sentiment Analysis Symposium held recently in New York: Affective Computing: sentiment from facial expressions, need to market to a “tribe” of people, social media speed of appearance, IBM notion of an Engaged Employee, and more. By Steve Gallant, March 10, 2014.Here are some personal impressions on Sentiment Analysis Symposium (New York, March 6, 2014). It was […]
On March 4, 2014, Markit announced that it has partnered with Social Market Analytics (SMA) to provide customers with new signals of investor sentiment that will enhance customers’ trading strategies and investment processes. As a result of this partnership, Markit will add social media indicators to its suite of more than 400 investment factors; these social media indicators can be […]
Are you ever tormented by the fact that what would happen if your customers stop buying your products or services? Or the fact that your customers are displeased with you and some improvements are required in your offerings? Or are you one of those who think social media is a waste of time because ignoring social media doesn’t make you […]
Computer Science > Social and Information Networks
Title:
Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social MediaAuthors:Linhong Zhu,
Aram Galstyan,
James Cheng,
Kristina Lerman(Submitted on 24 Feb 2014 (v1), last revised 26 Feb 2014 (this version, v2))
Abstract: The growing popularity of social media (e.g, Twitter) allows users to easily
share information with each other and influence others by expressing their own
sentiments […]
I am excited to be presenting in New York at the Sentiment Analysis Symposium. My talk is titled, “Measure and Predict: Lessons in Customer Satisfaction and Loyalty.” Customer satisfaction and loyalty are important variables in today’s business world. Senior executives rely on measures of these variables to make better decisions to help them market to, sell to and service their customers.
Businesses have access to droves […]
