Age and gender classification of tweets using convolutional neural networks
Determining age and gender from a series of texts is useful for areas such as business intelligence and digital forensics. We explore the use of convolutional neural networks together with word2vec word embeddings for this task in comparison to handcrafted features. The network constructed consists...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2018
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| Texto completo: | http://hdl.handle.net/10174/22360 |
| País: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/22360 |