Until now, the prominent words are got after segmenting, representing, and weighting words, which facilitates the following calculation including name entity extraction and sentiment orientation analysis.
was used for image editing, which essentially consisted in 1) cutting-out the object from the scene by turning the background to white, 2) removing stains, brand names, company logos, and other prominent words, 3) adjusting the colors, the lightness and the contrast in a way that improved the visibility of the object, and 4) resizing the object and placing it in a frame of 2000×2000 pixels.
We observed only four prominent words that switched in prevalence between 2011 and 2012 (indicated with dashed lines): "inheritance," "gene," "Mendel," and "phenotype".
As an alternative, we propose to use documents' words popularity in user queries to identify click-words, a set of prominent words from the users' perspective.
For instance, the prominent words in the small eubacterial species C. muridarum are dominated by components of adherence factor proteins mixed with a handful of peptides from other domains and some low complexity elements (Supplementary Material Table 4).
Through analysis of aggregate frequency change for the most prominent words (> 0.05 frequency) included in student word associations in 2011 and 2012, we found a shift in pre- (right side of y-axis) to postunit (left side of y-axis) word association frequency.
Along with the usual search terms, like "day spas" and "massage," a newly prominent word was typed into the site's search engine three times more often than it had been in the summer.
By calculating their weight, prominent word can be filtered.
A prominent word can be categorized as prominent syllables but the prominent syllable has the potential not to classify as prominent word.
Extracting prominent name entity is based on the fact that prominent word has been mined.
The research problem of this paper is finding sentiment orientation for prominent word of text.
