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emoji2vec: Learning Emoji Representations from their Description

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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...