Sentence examples for determines the sentiment from inspiring English sources

The size of the circle reflects quantity of discussions in the social sphere, and the location determines the sentiment.

And SkyGrid also makes a serious attempt to determine the sentiment of each article – red for negative, green for positive.

Statistical analysis of large corpus of text can also be used to determine the sentiment orientation of words.

I found Facebook Search to be a powerful tool for determining the sentiment of my network regarding a specific news topic.

Particularly, the approach is very effective in determining the sentiment orientation of opinions, achieving an F-measure of 92% for the task.

In the process of determining the sentiment orientation, we mine the words in corpus which has similar function as these seeds.

It may be conducted manually by experts determining the sentiment of a given text, automatically using machine learning algorithms and statistical methods, and by crowdsourcing.

Essentially, textual features (({mathbf {x}})) and classification function ((f cdot ))) play the largest and most critical role in accurately determining the sentiment of a given review.

Opinion mining is the science of using text analysis to determine the sentiment orientation of a text (positive, negative or neutral).

A more sophisticated approach was proposed by (Mohammad and Yang 2011), which used a WordNet distance based method to determine the sentiment orientation.

Similar to TechMeme and Google News, SkyGrid clusters related news stories based on keyword analysis, what they're linking to, etc. SkyGrid also tries to determine the sentiment of each article – red for negative, green for positive.