Word Embeddings for User Profiling in Online Social Networks
User profiling in social networks can be significantly augmented by using available full-text items such as posts or statuses and ratings (in the form of likes) that users give them. In this work, we apply modern natural language processing techniques based on word embeddin...
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| I publikationen: | Computación y Sistemas |
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| Huvudupphov: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Instituto Politécnico Nacional
2017
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| Ämnen: | |
| Länkar: | https://www.redalyc.org/articulo.oa?id=61551628004 |
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