faizhalas commited on
Commit
f153641
1 Parent(s): f955bb0

Update Home.py

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  1. Home.py +3 -2
Home.py CHANGED
@@ -32,7 +32,8 @@ with mt1:
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  st.text('')
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  st.text('')
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  st.divider()
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- st.info("We now support The Lens's CSV file.", icon="🚨")
 
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  with mt2:
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  st.header("Before you start")
@@ -139,7 +140,7 @@ with mt2:
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  st.write("The use of network text analysis by librarians can be quite beneficial. Finding hidden correlations and connections in textual material is a significant advantage. Using network text analysis tools, librarians can improve knowledge discovery, obtain deeper insights, and support scholars meaningfully, ultimately enhancing the library's services and resources. This menu provides a two-way relationship instead of the general network of relationships to enhance the co-word analysis. Since it is based on ARM, you may obtain transactional data information using this menu. Please name the column in your file 'Keyword' instead.")
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  st.divider()
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  st.write('💡 The idea came from this:')
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- st.write('Santosa, F. (2023). Adding Perspective to the Bibliometric Mapping Using Bidirected Graph. Open Information Science, 7(1), 20220152. https://doi.org/10.1515/opis-2022-0152')
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  with tab2:
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  st.text("1. Put your file.")
 
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  st.text('')
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  st.text('')
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  st.divider()
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+ st.write('To cite the Coconut Library Tool, please use the following reference:')
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+ st.info("Santosa, Faizhal Arif, George, Crissandra J., & Lamba, Manika. (2023). Coconut Library Tool (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.8323459", icon="🚨")
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  with mt2:
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  st.header("Before you start")
 
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  st.write("The use of network text analysis by librarians can be quite beneficial. Finding hidden correlations and connections in textual material is a significant advantage. Using network text analysis tools, librarians can improve knowledge discovery, obtain deeper insights, and support scholars meaningfully, ultimately enhancing the library's services and resources. This menu provides a two-way relationship instead of the general network of relationships to enhance the co-word analysis. Since it is based on ARM, you may obtain transactional data information using this menu. Please name the column in your file 'Keyword' instead.")
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  st.divider()
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  st.write('💡 The idea came from this:')
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+ st.write('Santosa, F. A. (2023). Adding Perspective to the Bibliometric Mapping Using Bidirected Graph. Open Information Science, 7(1), 20220152. https://doi.org/10.1515/opis-2022-0152')
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  with tab2:
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  st.text("1. Put your file.")