Upload 5 files (#4)

- Upload 5 files (16a62570afcc6bbb26780198ec161277971a58ee)


Co-authored-by: Karim Muhammad El-Sharkawy <[email protected]>

Pages/1_Sentiment_Analysis.py

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+import streamlit as st
+
+st.title("Sentiment Analysis")

Pages/2_Topic_Modeling.py

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+import streamlit as st
+
+st.title("Topic Modeling")
+
+if "page" not in st.session_state:
+    st.session_state.page = "Home"
+
+def navigate_to(page):
+    st.session_state.page = page
+
+col1, col2, col3 = st.columns(3)
+
+
+with col1:
+    if st.button("Home"):
+        navigate_to("Home")
+
+with col2:
+    if st.button("LDA Baseline"):
+        navigate_to("LDA Baseline")
+
+with col3:
+    if st.button("BERTopic"):
+        navigate_to("BERTopic")
+
+
+if st.session_state.page == "Home":
+    st.title("Research & Methodology")
+    st.markdown("Topic Modeling Techniques:")
+    st.markdown("BERT (BERTopic): Explanation of the advanced NLP technique used for analyzing the data, and its application in this project.")
+    st.markdown("LDA as Baseline: Describe the use of Latent Dirichlet Allocation as a baseline for comparison and understanding.")
+    st.markdown("Data Sources: How the data is being collected")
+    st.markdown("Process Flow: Step-by-step breakdown of the analysis process, from data gathering to insights extraction.")
+
+if st.session_state.page == "LDA Baseline":
+    st.title("Insights & Findings of Latent Dirichlet Allocation (LDA) Model")
+    st.markdown("Priliminary Results: If available, share initial findings, such as common themes, concerns, or emotions expressed by youth regarding climate anxiety.")
+    st.markdown("Visualizations: ")
+    st.markdown("Key Trends: ")
+
+elif st.session_state.page == "BERTopic":
+    st.title("Insights & Findings of BERTopic Model")
+    st.markdown("Priliminary Results: If available, share initial findings, such as common themes, concerns, or emotions expressed by youth regarding climate anxiety.")
+    st.markdown("Visualizations: ")
+    st.markdown("Key Trends: ")

Pages/4_Team.py

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+import streamlit as st
+
+st.title('Team')

Pages/5_Contact.py

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+import streamlit as st
+
+st.title('Contact')
+
+st.markdown("Project Team: Introduction to the project team, including brief bios or links to their profiles.")
+st.markdown("Contact Info: social media, contact form, emails")
+
+st.header("FAQ")
+st.markdown("")