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text,output,flag,username,timestamp | |
"'Keyphrase extraction is a technique in text analysis where you extract the | |
important keyphrases from a document. Thanks to these keyphrases humans can | |
understand the content of a text very quickly and easily without reading it | |
completely. Keyphrase extraction was first done primarily by human annotators, | |
who read the text in detail and then wrote down the most important keyphrases. | |
The disadvantage is that if you work with a lot of documents, this process | |
can take a lot of time. | |
Here is where Artificial Intelligence comes in. Currently, classical machine | |
learning methods, that use statistical and linguistic features, are widely used | |
for the extraction process. Now with deep learning, it is possible to capture | |
the semantic meaning of a text even better than these classical methods. | |
Classical methods look at the frequency, occurrence and order of words | |
in the text, whereas these neural approaches can capture long-term | |
semantic dependencies and context of words in a text.",,,,2023-02-25 21:18:36.680367 | |
"'Keyphrase extraction is a technique in text analysis where you extract the | |
important keyphrases from a document. Thanks to these keyphrases humans can | |
understand the content of a text very quickly and easily without reading it | |
completely. Keyphrase extraction was first done primarily by human annotators, | |
who read the text in detail and then wrote down the most important keyphrases. | |
The disadvantage is that if you work with a lot of documents, this process | |
can take a lot of time. | |
Here is where Artificial Intelligence comes in. Currently, classical machine | |
learning methods, that use statistical and linguistic features, are widely used | |
for the extraction process. Now with deep learning, it is possible to capture | |
the semantic meaning of a text even better than these classical methods. | |
Classical methods look at the frequency, occurrence and order of words | |
in the text, whereas these neural approaches can capture long-term | |
semantic dependencies and context of words in a text.",,,,2023-02-25 21:18:38.087039 | |
,,,,2023-02-25 21:18:40.419138 | |