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Docanalysis on ipcc documents #38
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Greetings!
The Google sheets are not visible by default. It's probably a good idea to
make them public.
Docanalysis runs on the scholarly literature and does not (yet) run on IPCC
content
…On Thu, Mar 7, 2024 at 9:42 AM suroseth ***@***.***> wrote:
Hi,
I wanted to extract information from IPCC using docanalysis. However I was
not able to get any results, the result files don't contain any
information. I even tried running the code that has been mentioned in
ipcc_analysis.ipynb. But I faced the same problem. I have attached the
colab sheet (ipcc_analysis_run:
https://colab.research.google.com/drive/1c-Kin1hybI-tyHKaaIlvnRRxecgRd1Li)
here which I have run and also the sheet that I have been following
(ipcc_analysis:
https://colab.research.google.com/drive/1ZDutqm7psCiECOQFQeWtGFxp_6Y3hTX1)
provided during the semantic hackathon. Please let me know if I'm missing
something.
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--
Peter Murray-Rust
Founder ContentMine.org
and
Reader Emeritus in Molecular Informatics
Dept. Of Chemistry, University of Cambridge, CB2 1EW, UK
|
sorry for the inconvenience, https://drive.google.com/file/d/1ZTXjMi1wYkkyAhvzDtKK1RI-mdbMvuHg/view?usp=sharing here is the link to the code that I was trying. |
I got from you:
```
Notebook validation failed
An invalid notebook may not function properly. The validation error was:
Notebook Validation failed: {'pip_warning': {'packages':
['_distutils_hack', 'pkg_resources', 'setuptools']}, 'id':
'fd2cd6efeb914b0e945e2af19b1d64c5'} is not valid under any of the
given schemas:
{
"pip_warning": {
"packages": [
"_distutils_hack",
"pkg_resources",
"setuptools"
]
},
"id": "fd2cd6efeb914b0e945e2af19b1d64c5"
}
and for cell [15]
Counter()
---------------------------------------------------------------------------ValueError
Traceback (most recent call
last)<ipython-input-15-4033914c5813> in <cell line: 5>() 3
climate_terms_hits = get_hit_counts(PATH) 4
pprint(climate_terms_hits)----> 5
generate_wordcloud(climate_terms_hits, FILE_NAME)
<ipython-input-14-555f99bd7172> in generate_wordcloud(hits_dictionary,
file_name) 2 def generate_wordcloud(hits_dictionary, file_name):
3 wc = WordCloud(background_color='white', width = 700,
height=300, margin=1)----> 4 wc.fit_words(hits_dictionary) 5
wc.to_file(file_name)
/usr/local/lib/python3.10/dist-packages/wordcloud/wordcloud.py in
fit_words(self, frequencies) 387 self 388 """-->
389 return self.generate_from_frequencies(frequencies) 390
391 def generate_from_frequencies(self, frequencies,
max_font_size=None): # noqa: C901
/usr/local/lib/python3.10/dist-packages/wordcloud/wordcloud.py in
generate_from_frequencies(self, frequencies, max_font_size) 408
frequencies = sorted(frequencies.items(), key=itemgetter(1),
reverse=True) 409 if len(frequencies) <= 0:--> 410
raise ValueError("We need at least 1 word to plot a word cloud, "
411 "got %d." % len(frequencies)) 412
frequencies = frequencies[:self.max_words]
ValueError: We need at least 1 word to plot a word cloud, got 0.
>>PMR>>
It seems you haven't got any words to plot!
Maybe add some print statements to see where this might have happened
…>>
On Thu, Mar 7, 2024 at 10:43 AM suroseth ***@***.***> wrote:
sorry for the inconvenience,
https://drive.google.com/file/d/1ZTXjMi1wYkkyAhvzDtKK1RI-mdbMvuHg/view?usp=sharing
here is the link to the code that I was trying.
—
Reply to this email directly, view it on GitHub
<#38 (comment)>,
or unsubscribe
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.
You are receiving this because you commented.Message ID:
***@***.***>
--
Peter Murray-Rust
Founder ContentMine.org
and
Reader Emeritus in Molecular Informatics
Dept. Of Chemistry, University of Cambridge, CB2 1EW, UK
|
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Hi,
I wanted to extract information from IPCC using docanalysis. However I was not able to get any results, the result files don't contain any information. I even tried running the code that has been mentioned in ipcc_analysis.ipynb. But I faced the same problem. I have attached the colab sheet (ipcc_analysis_run: https://colab.research.google.com/drive/1c-Kin1hybI-tyHKaaIlvnRRxecgRd1Li) here which I have run and also the sheet that I have been following (ipcc_analysis: https://colab.research.google.com/drive/1ZDutqm7psCiECOQFQeWtGFxp_6Y3hTX1) provided during the semantic hackathon. Please let me know if I'm missing something.
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