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Developed a NLP based extractive summarizer to efficiently summarize SEC 10K filings

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21 Commits
Dataset_Converted
Dataset_Converted
 
 
Dataset_SEC_filings
Dataset_SEC_filings
 
 
01_data_preparation.ipynb
01_data_preparation.ipynb
 
 
02_data_processing.ipynb
02_data_processing.ipynb
 
 
ReadMe.md
ReadMe.md
 
 
SEC_functions.ipynb
SEC_functions.ipynb
 
 
app.py
app.py
 
 
edgar_functions.py
edgar_functions.py
 
 
extractHTML.ipynb
extractHTML.ipynb
 
 
extract_tables.ipynb
extract_tables.ipynb
 
 
graphs.py
graphs.py
 
 
html2info.py
html2info.py
 
 
new_summarisers.ipynb
new_summarisers.ipynb
 
 
primary-document.html
primary-document.html
 
 
reasearch paper.pdf
reasearch paper.pdf
 
 
result.txt
result.txt
 
 
scraper.ipynb
scraper.ipynb
 
 
tabular_data_generation.ipynb
tabular_data_generation.ipynb
 
 
test.ipynb
test.ipynb
 
 
tf-idf-summariser.py
tf-idf-summariser.py
 
 
utils.py
utils.py
 
 

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Financial report summarizer

Summarize SEC 10-k Filings using tf-idf
Scraped data from SEC EDGAR

Authors

Omkar Oak $^1$, Rukmini Nazre $^1$, Rujuta Budke $^1$
$^1$ Under Graduate Student, Computer Science and Engineering Department, COEP Technological University
Pune, Maharashtra, India.

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Developed a NLP based extractive summarizer to efficiently summarize SEC 10K filings

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nlp data-science summarizer

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