doody_parizada

3 ms·

1. 1.▲
   Ethereum Insights with Elasticsearch and Kibana(medium.com)

   2 points by doody_parizada 9y ago|0 comments
2. 2.▲
   by doody_parizada 9y ago

   We started out with word2vec, but discovered it was easier to work with GloVe for our purpose. There are ways to convert glove vectors to word2vec format such as: https://radimrehurek.com/gensim/scripts/glove2word2
3. 3.▲
   by doody_parizada 9y ago

   One of the things we found out working on this project, is the problem of converting a word vector to a paragraph vector. Apparently there are many ways to do so and each one yields different results based on the length of the text and cont
4. 4.▲
   by doody_parizada 9y ago

   We don't have words like v1agra. As I mentioned in the README, we took vectors pretrained on wikipedia. One of the possible improvements can be to train the vectors on our own dataset.
5. 5.▲
   Show HN: Using word vectors to classify spam messages(github.com)

   104 points by doody_parizada 9y ago|21 comments