The Use of Distributional Semantics in Text Classification Models : Comparative performance analysis of popular word embeddings
In the field of Natural Language Processing, supervised machine learning is commonly used to solve classification tasks such as sentiment analysis and text categorization. The classical way of representing the text has been to use the well known Bag-Of-Words representation. However lately low-dimens...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Datorseende
2016
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-127991 |