jfataphd commited on
Commit
527140e
1 Parent(s): a363af1

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +9 -9
app.py CHANGED
@@ -1131,15 +1131,15 @@ if query:
1131
  # Add links to videos and webpages
1132
  # Add links to videos and webpages
1133
  st.markdown("""
1134
- Here are some useful resources to help you learn more about Word2Vec:
1135
-
1136
- 1. [Word2Vec Tutorial - The Skip-Gram Model](http://mccormickml.com/2016/04/19/word2vec-tutorial-the-skip-gram-model/) - A blog post by Chris McCormick providing a detailed explanation of the skip-gram model used in Word2Vec.
1137
- 2. [Word2Vec Tutorial Part 2 - Negative Sampling](http://mccormickml.com/2017/01/11/word2vec-tutorial-part-2-negative-sampling/) - A follow-up blog post by Chris McCormick discussing negative sampling in Word2Vec.
1138
- 3. [Efficient Estimation of Word Representations in Vector Space](https://arxiv.org/pdf/1301.3781.pdf) - The original research paper by Mikolov et al. that introduced the Word2Vec algorithm.
1139
-
1140
- 4. [Word2Vec Tutorial: Vector Representation of Words](https://www.youtube.com/watch?v=64qSgA66P-8) - A YouTube video by Sentdex explaining the Word2Vec algorithm and its implementation in Python.
1141
- 5. [Word2Vec: How to Implement Word2Vec in Python](https://www.youtube.com/watch?v=ISPId9Lhc1g&t=6s) - A YouTube video by Data Talks demonstrating how to implement Word2Vec in Python using the Gensim library.
1142
- """)
1143
 
1144
 
1145
  # else:
 
1131
  # Add links to videos and webpages
1132
  # Add links to videos and webpages
1133
  st.markdown("""
1134
+ Here are some useful resources to help you learn more about Word2Vec:
1135
+
1136
+ 1. [Word2Vec Tutorial - The Skip-Gram Model](http://mccormickml.com/2016/04/19/word2vec-tutorial-the-skip-gram-model/) - A blog post by Chris McCormick providing a detailed explanation of the skip-gram model used in Word2Vec.
1137
+ 2. [Word2Vec Tutorial Part 2 - Negative Sampling](http://mccormickml.com/2017/01/11/word2vec-tutorial-part-2-negative-sampling/) - A follow-up blog post by Chris McCormick discussing negative sampling in Word2Vec.
1138
+ 3. [Efficient Estimation of Word Representations in Vector Space](https://arxiv.org/pdf/1301.3781.pdf) - The original research paper by Mikolov et al. that introduced the Word2Vec algorithm.
1139
+ 4. [Word2Vec Tutorial: Vector Representation of Words](https://www.youtube.com/watch?v=64qSgA66P-8) - A YouTube video by Sentdex explaining the Word2Vec algorithm and its implementation in Python.
1140
+ 5. [Word2Vec: How to Implement Word2Vec in Python](https://www.youtube.com/watch?v=ISPId9Lhc1g&t=6s) - A YouTube video by Data Talks demonstrating how to implement Word2Vec in Python using the Gensim library.
1141
+ 6. [Cosine Similarity Calculator](https://www.omnicalculator.com/math/cosine-similarity) - A calculator for computing cosine similarity, a common metric used in measuring similarity between vectors.
1142
+ """)
1143
 
1144
 
1145
  # else: