(?=[ \n\r]+[A-Z0-9]) This regular expression splits text at periods preceded by one number (0 9), lowercase letter (a-z), or period, this character being followed by one number, lowercase letter, percent sign, or quote.
We can apply the technique TF IDF (term frequency inverse document frequency) [17] to characterize the texts as follows: Split the text into a set of n-gram (t^1 = (g^1_1, g^1_2,ldots g^1_n)) and (t^2 = (g^2_1, g^2_2,ldots g^2_m).) Calculate the TF IDF of each n-gram in the text.
We extracted text from all pages associated with a given website, then split the text into sentences using the OpenNLP sentence breaker for C#.
We used the Stanford parser13 [33] to split the text into sentences and to parse a sentence.
Google also weirdly split up text and video into separate apps, Duo and Allo, instead of combining them into a single, more functional app.
Standard word delimiters are used to split multiple text strings to words and the Porter stemming algorithm [24] reduces words to common stems in order to map different forms of one word to their common stem.
This feature will be used in all feature extraction techniques; Sentence splitting: we split the text into sentences and divide those that are compound so they can be processed by the sentiment analysis algorithm; Parsing: we apply a parser in the texts, so that more sensitive information is obtained, such as the structure of sentences and relationships between words.
It's usually a fairly even split between texting people I know and entering competitions/using services designed to allow single people to flirt with one another.
(ii) No. 148 which is split into texts 148A (De confectio ficarim f. 229v) and 148B (Et dimitte alios, f. 230r).
The generic headings repeated at the top of each measure sheet (see Table 1), e.g., Title of measure, were identified manually and used to automatically split the texts into sections.
