Spaces:
Running
Running
Update Home.py
Browse files
Home.py
CHANGED
@@ -32,7 +32,8 @@ with mt1:
|
|
32 |
st.text('')
|
33 |
st.text('')
|
34 |
st.divider()
|
35 |
-
st.
|
|
|
36 |
|
37 |
with mt2:
|
38 |
st.header("Before you start")
|
@@ -139,7 +140,7 @@ with mt2:
|
|
139 |
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.")
|
140 |
st.divider()
|
141 |
st.write('💡 The idea came from this:')
|
142 |
-
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')
|
143 |
|
144 |
with tab2:
|
145 |
st.text("1. Put your file.")
|
|
|
32 |
st.text('')
|
33 |
st.text('')
|
34 |
st.divider()
|
35 |
+
st.write('To cite the Coconut Library Tool, please use the following reference:')
|
36 |
+
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="🚨")
|
37 |
|
38 |
with mt2:
|
39 |
st.header("Before you start")
|
|
|
140 |
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.")
|
141 |
st.divider()
|
142 |
st.write('💡 The idea came from this:')
|
143 |
+
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')
|
144 |
|
145 |
with tab2:
|
146 |
st.text("1. Put your file.")
|