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prashant commited on
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1 Parent(s): 369dc03
Files changed (1) hide show
  1. appStore/sdg_analysis.py +2 -4
appStore/sdg_analysis.py CHANGED
@@ -44,8 +44,7 @@ def app():
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  of a “context” and should limit the paragraph length deviation. \
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  However, since we want to respect the sentence boundary the limit \
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  can breach and hence this limit of 120 is tentative. \n
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-
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- SDG cLassification: The application assigns paragraphs to 15 of \
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  the 17 United Nations Sustainable Development Goals (SDGs). SDG 16 \
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  “Peace, Justice and Strong Institutions” and SDG 17 \
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  “Partnerships for the Goals” are excluded from the analysis due to \
@@ -62,8 +61,7 @@ def app():
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  interested in the classification of research according to the \
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  Sustainable Development Goals. The summary table only displays \
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  paragraphs with a calculated relevancy score above 85%. \n
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-
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- Keyphrase Extraction: The application extracts 15 keyphrases from \
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  the document, calculates a respective relevancy score, and displays \
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  the results in a summary table. The keyphrases are extracted using \
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  using [Textrank](https://github.com/summanlp/textrank) which is an \
 
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  of a “context” and should limit the paragraph length deviation. \
45
  However, since we want to respect the sentence boundary the limit \
46
  can breach and hence this limit of 120 is tentative. \n
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+ **SDG cLassification:** The application assigns paragraphs to 15 of \
 
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  the 17 United Nations Sustainable Development Goals (SDGs). SDG 16 \
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  “Peace, Justice and Strong Institutions” and SDG 17 \
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  “Partnerships for the Goals” are excluded from the analysis due to \
 
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  interested in the classification of research according to the \
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  Sustainable Development Goals. The summary table only displays \
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  paragraphs with a calculated relevancy score above 85%. \n
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+ **Keyphrase Extraction:** The application extracts 15 keyphrases from \
 
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  the document, calculates a respective relevancy score, and displays \
66
  the results in a summary table. The keyphrases are extracted using \
67
  using [Textrank](https://github.com/summanlp/textrank) which is an \