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This package can parse sentences and extract their word features.
It takes a string of text and parses it to split several parts that are easier to analyze. Currently, it can:
- Break the string into sentence paragraphs
- Parse a sentence punctuation
- Find the frequency of work in a sentence
- Return a SQL string to insert words in a database table
- Rate a sentence according to the words that it uses
|Natural language processing is helpful to interpret phrases of users that wish to express their will using written or spoken language.
It is necessary to process a phrase to interpret its meaning. The interpretation of the phrase can start by breaking it into several parts that make it easier to interpret the meaning of each part of the phrase.
This package can parse phrases to make it easier to process them and interpret the meaning of the phrase as a whole.
Language: Sentence: Word Detection
Sentence parts, and words identification
Here are a few classes not yet related identifying the parts of a sentence, another accepts words and organize
them into subject and predicative and later into sentence.
The current stage for this project is Alpha.
<img src="https://raw.githubusercontent.com/gmanon/language/sentence/sentence/language_data/sentence_elements_finder.png" alt="language-sec:sentence element finder">
<h2>Sentence Builder class</h2>
Sentence Builder builds sentences from given words. It would work together with the sentence elements filter. Once you have gother random words, you will pass it to sentence builder to build an organized sentence.
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