US Presidential Election 2016

Sentiment Analysis of Big Data from Online News

The presidential race is getting extremely tight. Both Hillary Clinton and Donald Trump are aware of the importance of online media. The next President of the United States will be the one who will have the best Internet presence. Various research shows there is a high correlation between public opinion and critical mass of online content* we analyze. The charts below show the results of Semantic Visions’ real-time and ongoing Sentiment Analysis of over 100 million articles from 275 thousand sources.

Real-Time Situation

Sentiment Balance - Clinton vs Trump - by dayExample
Positive Sentiment - Clinton vs Trump - by dayExample
Negative Sentiment - Clinton vs Trump - by dayExample
Neutral Sentiment - Clinton vs Trump - by dayExample
*/ In addition to general-purpose news articles, Semantic Visions collects and analyzes content from websites publishing news on a specific topic, research results, political, business and academic analysis or debate. In general, authors of such articles give facts and detailed information following answers to general questions like who, what, when, where, why and how.
 
Such logically structured information spread over 3,100 characters per average article analyzed by Semantic Visions provides much more substance for further analysis than logically unstructured tweets with the most popular length ranging from about 70 to 120 characters (source: MIT).
 
For Semantic Visions, social media is a part of cyberspace from which only relatively limited information can be utilized for the tasks we conduct. Based on our extensive experience, we exploit social media like Twitter or Facebook indirectly and more efficiently by using the collective intelligence of hundreds of thousands of editors and article authors who decide what is important and what is not.

US Presidential Election 2016

Sentiment Analysis of Big Data from Online News


The presidential race is getting extremely tight. Both Hillary Clinton and Donald Trump are aware of the importance of online media. The next President of the United States will be the one who will have the best Internet presence. Various research shows there is a high correlation between public opinion and critical mass of online content* we analyze. The charts below show the results of Semantic Visions’ real-time and ongoing Sentiment Analysis of over 100 million articles from 275 thousand sources.

Real-Time Situation

Sentiment Balance - Clinton vs Trump - by day
Positive Sentiment - Clinton vs Trump - by day
Negative Sentiment - Clinton vs Trump - by day
Neutral Sentiment - Clinton vs Trump - by day

*/ In addition to general-purpose news articles, Semantic Visions collects and analyzes content from websites publishing news on a specific topic, research results, political, business and academic analysis or debate. In general, authors of such articles give facts and detailed information following answers to general questions like who, what, when, where, why and how.
 
Such logically structured information spread over 3,100 characters per average article analyzed by Semantic Visions provides much more substance for further analysis than logically unstructured tweets with the most popular length ranging from about 70 to 120 characters (source: MIT).
 
For Semantic Visions, social media is a part of cyberspace from which only relatively limited information can be utilized for the tasks we conduct. Based on our extensive experience, we exploit social media like Twitter or Facebook indirectly and more efficiently by using the collective intelligence of hundreds of thousands of editors and article authors who decide what is important and what is not.

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