HBRP Publication
Published May 1, 2020 | Version v1
Journal article Open

An Approach to Effective Co- Referential Aspect and Entity Based Sentiment Classification of Tourist Reviews using Neural Networks and Machine Learning

Creators

  • 1. Department of Computer Science and Engineering, Government College of Engineering, Amravati, India.

Description

Tourism is a widely increasing industry and tourist reveiws plays the vital role for the people to select the place , hotel , restaurants and others. Sometimes there is collection of irrelevant data which leads to the unwanted errors. So as to minimize this noisy data we make use of aspect based sentiment classification. In this paper we are trying to identify the implicit explicit and co referential aspects and perform the sentiment classification with the higher efficiency.Here in this paper we would be using the Machine learning Algorithms and the neural network algorithms for the sentiment classification.

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References

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Subjects

Computer Science Engineering
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