Saygent is bringing its voice sentiment analysis software to Ingenico’s mobile point of sale devices, giving retailers and merchants a way to solicit almost instant voice feedback. For Saygent, this is the first time it’s moving into retail stores with its technology.
The moods of men can be captured by a web app, which can then recommend the appropriate spiciness of chicken wings they should eat, and even suggest appropriate mood music thanks to Spotify. Welcome to the data-driven future. Adjust your personal privacy setting accordingly.
Social media are a great source of information on consumer sentiment, but the next wave of analytics in social media will be influence. It’s easy to ridicule your friends and co-workers who are actually concerned with their Klout scores, but this stuff matters.
On Super Tuesday, when 10 states hold their presidential primaries and 419 delegates are up for grabs, the election trackers at Yahoo and Fizziology have Mitt Romney as the favorite to win the day. The day might not go as well for Rick Santorum.
Companies are hot on social media for a number of reasons, but perhaps chief among them should be that social platforms can create focus groups at a scale never before possible. Given the right big data tools and techniques, the insights can be fantastic.
Who needs an awards show to tell us which movies and actors fans prefer when we have Twitter? IBM is turning its skills in social-media sentiment analysis to Hollywood awards so the world can see which movies and stars are generating the most buzz on Twitter.
Twitter is fast becoming the focus group of the 21st century, a status solidified yet again during Sunday night’s Super Bowl. The platform saw 453 times the maximum tweets per second it saw during 2008’s game, and sentiment analysis of tweets might have predicted the upset.
HP took a lot of flack when it decided to buy Autonomy for $10 billion, but if big data is a worthwhile investment, perhaps HP’s alleged overpayment really will pay off. Autonomy’s Nicole Egan explained to me why she thinks HP is in a good position.
IBM detailed early results of a new sentiment-analysis experience to determine how Twitter users feel about the World Series. The findings won’t tell you who’ll win, but perhaps they’ll set the stage for a new way of thinking about who to sign, trade and cut.
Do you know how people feel about you on Twitter? Are the tweets about you or your product mostly positive, negative or neutral? While things like feelings and sentiment can seem fuzzy and “touchy-feely,” there are sentiment analysis tools available for Twitter that attempt to classify tweets into either positive, negative or neutral categories automatically using algorithms and lists of keywords. For example, using words like “sucks,” “sad” and “hate” would be classified as negative, while “awesome,” “great” and “love” would be positive, with a neutral rating given to anything not falling into one of the other two categories. Read More about Sentiment Analysis: How Do People Feel About You On Twitter?