Sentence examples for analyzing sentiments from inspiring English sources
For example, German startup Tweek, which launched its iPad app at London Web Summit this week, is trying to solve the TV content selection problem by aggregating ìlikesî and analyzing sentiments of a social graph related to particular video content.
We are using electronic waste and active circuitry to describe the life cycle of our digital, virtual and physical environments by culling information from local (physical proximity) and global (by analyzing sentiments in tweets) sources.
She founded Knotch with Stephanie Volftsun, the company's chief technology officer, to find a more precise method of analyzing sentiment than what was available at the time.
Research work focuses on analyzing sentiment orientation for specific aspects of product with explicit names.
However, Group Product Manger Phil Mui says the new reports take a different approach than most social analytics products, which are more focused on "listening" — counting mentions, retweets, analyzing sentiment, and so on.
Anger spreads faster and more broadly than joy, say computer scientists who have analyzed sentiment on the Chinese Twitter-like service Weibo.
It also analyzes sentiment, because if people overwhelmingly dislike a new video game, ordering pallets of the game is not a great bet.
For example, a recent academic study that analyzed sentiment of tweets about candidates in the last U.S. election correctly predicted Barack Obama as the winner.
When customers leave behind reviews on social platforms like Facebook or Yelp, we analyze sentiment by using technologies similar to IBM Watson's API.
Finally, Fuzzy clustering algorithm is used to analyze sentiment classification of micro-blog users, and classification result is forecasted with tools such as SPSS, and sentiment trend charts are generated to understand users' emotion state more intuitively.
For instance, LIWC [7] was originally proposed to analyze sentiment patterns in English texts, whereas PANAS-t [8] and POMS-ex [9] are psychometric scales adapted to the Web context.
