Update pages/7_Advance_vectorization_techniques.py

pages/7_Advance_vectorization_techniques.py

@@ -447,4 +447,58 @@ if file_type == "Word2Vec":
 
 elif file_type == "Fasttext":
     st.title(":red[Fasttext]")
-    
+    st.markdown(
+    """
+        <p><strong>FastText</strong> is an advanced word vectorization technique that enhances word embeddings by considering subword information.</p>
+        <p>It is a <span class='highlight'>simple extension</span> of Word2Vec, which converts words into vectors.</p>
+    """,
+    unsafe_allow_html=True,
+    )
+
+    st.markdown(
+    """
+        <h3 style='color: #6A0572;'> Implementing FastText</h3>
+        <p>FastText can be implemented using:</p>
+        <ul>
+            <li><strong>CBOW (Continuous Bag of Words)</strong></li>
+            <li><strong>Skip-gram</strong></li>
+        </ul>
+    """,
+    unsafe_allow_html=True,
+    )
+
+    st.markdown(
+    """
+        <strong>CBOW Representation:</strong>
+        <pre style="background-color:#F7F7F7; padding: 10px; border-radius: 5px;">
+        y = f(xi)
+        where,
+        y = Focus Word
+        xi = Context Words
+        </pre>
+
+        <strong>Skip-gram Representation:</strong>
+        <pre style="background-color:#F7F7F7; padding: 10px; border-radius: 5px;">
+        y = f(xi)
+        where,
+        y = Context Words
+        xi = Focus Word
+        </pre>
+    """,
+    unsafe_allow_html=True,
+    )
+
+    st.markdown(
+    """
+        <h3 style='color: #6A0572;'> Problem: Out-of-Vocabulary (OOV)</h3>
+        <p>Traditional word embedding techniques fail when encountering new or rare words.</p>
+        <p><span class='highlight'>FastText overcomes this issue</span> by breaking words into subword units (character n-grams).</p>
+    """,
+    unsafe_allow_html=True,
+    )
+
+
+
+    st.markdown('''Example :
+    - 
+    ''')