Hi All,
I'm playing with word2vec in GenSim to know more about distributed representation
models, it's interesting. First I want to thank all contributors.
I want to calculate semantic relatedness between two phrases or sentences, what is the easiest way?I can download GoogleNews pre-trained model and calculate
word similarity but what about
phrases or sentences?
Clearly, the problem is that how can I map a phrase to an appropriate vector using word2vec package?
I see the following papers in this field but I really looking for an environment to
practically evaluate and learn these models:
- Distributed Representations of Sentences and Documents
- Distributed Representations of Words and Phrases and their Compositionality
Any comments and suggestions are welcomed.