Mapping Hollywood Celebrities to Emojis based on their Movie Names 😍
Started with collecting 100 Hollywood celebrities and their movies. All the movie names then converted to word vectors using word2vec(Google News 2014). For each movie, a dictionary of emojis is generated with similarity. Similarity is calculated using cosine similar with the help of vector representation of emojis (emoji2vec). Then for each actor, all of the dictionaries are merged together with the summation of similarity scores. From this combined dictionary, top 10 emojis are selected and visualized.
-> Since some movie names do not exist in English vocabulary, they couldn't be considered to generate the emojis.
- Pandas 🐼
- Gensim 🎁
- NumPy 🔢
- SciPy 👾
- num2words 🔡
- imdb 🎥
Special Thanks to @PableraShow for the amazing table template