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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Probabilistic Neural Network and Word Embedding for Sentiment Analysis

Author 1: Saqib Alam Author 2: Nianmin Yao
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 7 · Published 2018 · Cited by 7

DOI: https://doi.org/10.14569/IJACSA.2018.090708

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Abstract

In the present days, Artificial Intelligence (AI) is an attractive area of research along with numerous practicable purposes and vigorous subject matters and tasks, such as, understand speech, natural language, diagnose medicine and support basic research. In this study deep learning (DL) techniques, i.e. Probabilistic Neural Network (PNN) and Word Embedding (WE) will be used for sentiment analysis. The entire proposed framework will be divided into three phases: (a) normalization, (b) word vectorization, and (c) execution of proposed model.

Keywords

Deep learning probabilistic neural network word embedding sentiment analysis

How to Cite this Article

Alam, S., & Yao, N. (2018). Probabilistic Neural Network and Word Embedding for Sentiment Analysis. International Journal of Advanced Computer Science and Applications, 9(7). https://doi.org/10.14569/IJACSA.2018.090708

Alam, Saqib, and Nianmin Yao. "Probabilistic Neural Network and Word Embedding for Sentiment Analysis." International Journal of Advanced Computer Science and Applications, vol. 9, no. 7, 2018, https://doi.org/10.14569/IJACSA.2018.090708.

@article{Alam2018,
  title     = {Probabilistic Neural Network and Word Embedding for Sentiment Analysis},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {7},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Saqib Alam and Nianmin Yao},
  doi       = {10.14569/IJACSA.2018.090708},
  url       = {https://doi.org/10.14569/IJACSA.2018.090708}
}

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