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1 Parent(s): bb97872
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Preliminary Results.pdf β†’ deliverables/Preliminary Results.pdf RENAMED
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Project Proposal.pdf β†’ deliverables/Project Proposal.pdf RENAMED
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- text,output,flag,username,timestamp
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- "'Keyphrase extraction is a technique in text analysis where you extract the
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- important keyphrases from a document. Thanks to these keyphrases humans can
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- understand the content of a text very quickly and easily without reading it
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- completely. Keyphrase extraction was first done primarily by human annotators,
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- who read the text in detail and then wrote down the most important keyphrases.
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- The disadvantage is that if you work with a lot of documents, this process
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- can take a lot of time.
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-
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- Here is where Artificial Intelligence comes in. Currently, classical machine
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- learning methods, that use statistical and linguistic features, are widely used
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- for the extraction process. Now with deep learning, it is possible to capture
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- the semantic meaning of a text even better than these classical methods.
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- Classical methods look at the frequency, occurrence and order of words
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- in the text, whereas these neural approaches can capture long-term
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- semantic dependencies and context of words in a text.",,,,2023-02-25 21:18:36.680367
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- "'Keyphrase extraction is a technique in text analysis where you extract the
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- important keyphrases from a document. Thanks to these keyphrases humans can
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- understand the content of a text very quickly and easily without reading it
20
- completely. Keyphrase extraction was first done primarily by human annotators,
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- who read the text in detail and then wrote down the most important keyphrases.
22
- The disadvantage is that if you work with a lot of documents, this process
23
- can take a lot of time.
24
-
25
- Here is where Artificial Intelligence comes in. Currently, classical machine
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- learning methods, that use statistical and linguistic features, are widely used
27
- for the extraction process. Now with deep learning, it is possible to capture
28
- the semantic meaning of a text even better than these classical methods.
29
- Classical methods look at the frequency, occurrence and order of words
30
- in the text, whereas these neural approaches can capture long-term
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- semantic dependencies and context of words in a text.",,,,2023-02-25 21:18:38.087039
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- ,,,,2023-02-25 21:18:40.419138
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- ,,,,2023-03-25 16:14:25.639391
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- ,,,,2023-03-25 16:14:26.687979
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- Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:14:31.944106
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- Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:14:32.552069
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- Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:14:33.042101
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- Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:14:33.371218
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- ,,,,2023-03-25 16:22:32.147004
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- ,,,,2023-03-25 16:22:41.666675
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- ,,,,2023-03-25 16:22:42.128605
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- ,,,,2023-03-25 16:22:42.314580
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- ,,,,2023-03-25 16:22:42.474549
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- ,,,,2023-03-25 16:22:42.639555
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- ,,,,2023-03-25 16:22:42.830877
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- Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:26:57.282664
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- Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:27:40.137523
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- Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:27:40.939901
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- Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:27:41.198962
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- Where is the Eiffel Tower?,"champ de mars in paris , france",,,2023-03-25 16:27:41.365459