keyphrase meaning in Hindi

Examples

1. Keyphrase indexing provides useful metadata for storage and accessing electronic documents.
2. Designing a supervised keyphrase extraction system involves deciding on several choices ( some of these apply to unsupervised, too ).
3. In the case of Turney's GenEx algorithm, a genetic algorithm is used to learn parameters for a domain-specific keyphrase extraction algorithm.
4. The processing model was a two-pass keyword / keyphrase matching approach, based loosely on the algorithms employed in Weizenbaum s famous Eliza program.
5. For example, if we use only unigrams, bigrams, and trigrams, then we will never be able to extract a known keyphrase containing four words.
6. Hulth uses a reduced set of features, which were found most successful in the KEA ( Keyphrase Extraction Algorithm ) work derived from Turney s seminal paper.
7. The two methods were developed by different groups at the same time, and LexRank simply focused on summarization, but could just as easily be used for keyphrase extraction or any other NLP ranking task.
8. Thus it is " more " mathematically correct for a " keyphrase " to be calculated just like the original calculation, but considering the word group, " blue suede shoes, " as a single appearance, not three.
9. Examples of this include keyphrase extraction, where the goal is to select individual words or phrases to " tag " a document, and document summarization, where the goal is to select whole sentences ( without modifying them ) to create a short paragraph summary.
10. For example, if we rank unigrams and find that " advanced ", " natural ", " language ", and " processing " all get high ranks, then we would look at the original text and see that these words appear consecutively and create a final keyphrase using all four together.