Sentence examples for message sentiment from inspiring English sources

In Chinese micro-blog message sentiment analysis, sentences are generally made up of sentiment phrases which contain sentiment words and its modifier.

Following this representation of the message, sentiment values from the dictionary are assigned to all positive and negative words or phrases within the message.

Some of the notable ones are online message sentiment filtering, e-mail sentiment classification, web blog author's attitude analysis etc. Data leakage analysis is an emerging area that can be focused on in security systems (Katz et al. 2014).

Following this, we investigated whatever better performance can be achieved while performing sentence or message level sentiment analysis.

From the obtained results it can be noticed that for short messages such as tweets better accuracy was achieved for message level sentiment analysis.

Even as a kid, decades removed from the tumultuous era in which King first delivered that message, his sentiment gripped me.

While Eastwood's speech was embarrassing both for Eastwood and the Republican Party, it was only a more awkward and blunt formulation of the Republican message and sentiment that was expressed throughout the convention.

Its program, called E-MEME (Epidemiological Modelling of the Evolution of MEssages) uses sentiment analysis to see how opinions and states of mind flow across entire populations, not just activists.

Twitter and Facebook would become vastly more influential than newspapers in spreading election messages, and sentiment analysis - mining the big data of social media - would tell us exactly what was going on.

In addition, video messages containing sentiments of support from Savage and his partner Terry Miller, along with hopeful messages from celebrities -- including Adam Levine, Zachary Quinto, Margaret Cho, Chaz Bono, "Jersey Shore's" Vinny Guadagnino, Dave Holmes, Sia and Jake Shears -- will be included in the hour-long special.

It is much more a question of instinct, message, trust and sentiment.