emoji2vec
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emoji2vec: Learning Emoji Representations from their Description
It's not easy to execute the code locally. There have been some breaking API changes and the code only works with specific versions of the imported packages. I've migrated the...
hi, @rockt, I did something like below, e2v = gensim.models.KeyedVectors.load_word2vec_format('emoji2vec.bin', binary=True) print (e2v['😂']) e2v = gensim.models.KeyedVectors.load_word2vec_format('emoji2vec.txt') print (e2v['😂']) It gives 2 different result. Do you know why?
In the newest gensim, please use the KeyedVectors
In newest tensorflow version, please use tf.summary.FileWriter Same problem also appears in hooks.py
mul->multiply add logits and labels to sigmoid cross entropy function
Top 4 similar emoji with 😭 by using pre-trained `emoji2vec.txt`: 😿 0.836434900761 😢 0.689464867115 😹 0.677145779133 😂 0.671003580093 I get it, that crying face emoji is kind of more similar...