Twitter, a source for market research?

On Twitter all kinds of information flows and, for example, due to the trending topics we can follow the topics you are talking more in the moment and even gauge the opinion of users on a given topic, in fact, Eisten some tools that analyze Twitter tweets circulating on a given topic, to assess whether it has a positive or negative meaning and thus gauge the opinion of the users. If this information is processed flowing through this network of microblogging, in some cases could be prevented surveys and polls, something which, precisely, made ​​IBM , by the Annenberg Innovation Lab at the University of Southern California, publishing a curious projection on the Oscars that is based on the tweets of the users.

Not the first time that IBM is working on a project, since similar projections made at the World Series of Baseball and the recent Super Bowl, in fact, is part of your marketing strategy to demonstrate the ability of the company's data processing and analysis (which can be applied in the business environment for studies, projections and support decision making, for example). This time, with the support of Innenberg Innovation Lab, IBM has published in the Los Angeles Times Senti-meter , an interactive chart where you can see the popularity of the various nominees for the Oscars and the temporal evolution of the same thanks to analysis of the messages that have been circulating on Twitter during the month of January and talked about this issue.

In the graph we can see a classification based on the messages of the users, showing us what the award based on the popular sentiment for each of the categories shown and which took into account messages in English and Spanish were weighted the "feelings" of the messages (positive, negative or neutral) and the number of messages sent by each of the nominees.

Clearly, gathering information on the Oscars can not be considered a very useful application, however, is an interesting demonstrator which companies could obtain such tools as, thanks to this analysis, one can obtain information large value (user preferences, opinions, projections of sales, etc.) without the need for a poll, simply by applying a listen to what is discussed on social networks and data processing.

In fact, it is expected that by 2015, IBM obtained an income to reach about 15,000 million dollars from applications related to analytical and precisely analyze the information flowing through social networks occupy the bulk of activity .