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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 | |
,,,,2023-03-25 16:14:25.639391 | |
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Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:14:31.944106 | |
Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:14:32.552069 | |
Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:14:33.042101 | |
Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:14:33.371218 | |
,,,,2023-03-25 16:22:32.147004 | |
,,,,2023-03-25 16:22:41.666675 | |
,,,,2023-03-25 16:22:42.128605 | |
,,,,2023-03-25 16:22:42.314580 | |
,,,,2023-03-25 16:22:42.474549 | |
,,,,2023-03-25 16:22:42.639555 | |
,,,,2023-03-25 16:22:42.830877 | |
Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:26:57.282664 | |
Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:27:40.137523 | |
Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:27:40.939901 | |
Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:27:41.198962 | |
Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:27:41.365459 | |