Survey of Business Perception Based on Sentiment Analysis through Deep Neuronal Networks for Natural Language Processing | ||||
| The International Conference on Electrical Engineering | ||||
| Article 20, Volume 10, 10th International Conference on Electrical Engineering ICEENG 2016, April 2016, Page 1-8 PDF (640.48 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2016.30299 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Mónica Patricia Pineda Vargas1; Miguel Alexander Chitiva Díaz1; Brayan S. Reyes Daza1; Octavio J. Salcedo Parra2 | ||||
| 1Ing., Universidad Distrital Francisco José de Caldas, Universidad Nacional de Colombia, Bogotá D.C., Colombia | ||||
| 2Ing. PhD., Universidad Distrital Francisco José de Caldas, Universidad Nacional de Colombia, Bogotá D.C., Colombia | ||||
| Abstract | ||||
| In recent years, the machine-learning field, deep neural networks has been an important topic of research, used in several disciplines such as pattern recognition, information retrieval, classification and natural language processing. Is in the last that this paper it’s going to be our principal topic, in this branch exist an specific task that in literature is called Sentiment Analysis were the principal function is to detect if an opinion is positive or negative. The paper shows how use this subset of the machine learning knowledge and use it for give us an insight in the question: what is the perception in a business or a product by means of the opinion of the consumers in social networks? | ||||
| Keywords | ||||
| Deep learning; natural language processing; Neural Networks; Machine Learning | ||||
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