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This entails both a literature review to understand how they have been labeled and some data mining to find already labeled text basis to build sentiment index
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Use this code to reproduce published results for RNNs for text classification. Put the results and references in the README.
Nothing exhaustive, just reproduce something to show that it's working.
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Reviewer 1 has challenges the technical contributions of the paper, while the underlying idea is simple, its implementation in a distributed environment with the complete model manager and data partit…
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Hi,
I have used senti_classifier before and it worked fine. However, I had reinstalled it and since then it is giving zero score for anything and everything. Can anyone please help?
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Hi co-authors,
I got feedback from the editor. He asked if we could do a simple, but not too much, computer vision example. In particular he mentioned sparse coding.
Does anybody has an idea or even…
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We need a small NLP example. Maybe something adapted and simplified from the 20newsgroup examples of scikit-learn. We need something as simple as possible.Really the bare minimum, as people will get l…
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Currently only single indexes are allowed on types. Relating to compound primary key, but also needed for other purposes, the support multi indexes are needed.
For Titan, using also properties for di…
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I classified a movie in JAABAPlot and then loaded it into JAABA (guf), to review the scores. I had made a new project that used the same score file name, but the scores didn't show up in the imported …