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### Describe the desired feature
Echidna corpus shows code coverage which can be used to get a sense of the system states explored by echidna. The documentation on coverage can be improved to make it…
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Hi yx100! Thank you for making your code public. Your paper is very well-designed and inspiring. I'm currently also doing an emoji-powered sentiment analysis research and would like to use your corpus…
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Create a comprehensive but not too detailed ontology for the named entities in our corpus, e.g.
- person
- date
- location
- work
- musical work (piece)
- literary work (book)
- musical s…
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**Text**
- Bangla Fake News; http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.349.pdf
- https://github.com/Rowan1697/FakeNews
- Urdu Fake News: http://www.lrec-conf.org/proceeding…
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```
# CAVaT Corpus Analysis and Validation for TimeML
# Version: 0.21 Support: leon@dcs.shef.ac.uk
! Could not switch to database timebank
cavat> corpus use v12
# Corpus database changed to v12
ca…
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I would want to revisit and understand better the current NNexus algorithm for longest token matching (LTM) and try to contribute further enhancements from Corpus linguistics, e.g. Term-likelihood ana…
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- [x] Determine most frequent 100 words over all text. Visualise as word cloud?
- [x] Determine most frequent 100 words over all single-author corpus. Visualise as word cloud?
- [x] Use PCA on term …
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**Is your feature request related to a problem? Please describe.**
I've used guidance before the current refactor. We used to be able to call a guidance program with silent=True to avoid having any r…
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Hi,
first of all, thanks for this amazing python package.
The corpus object in my analysis gets really huge. For example i don't need Funding information, mail adresses and some more. Is it possibl…
ghost updated
8 years ago
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