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Product Sentiment Analysis for Amazon Reviews
<span title="2021-07-14">2021</span>
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The Experiment was Conducted on Multiclass Classifications, Then we Selected the Best Performing Model And Re-Trained It on the Binary Classification. ...
This Research Provides an Analysis of the Amazon Reviews Dataset and Studies Sentiment Classification with Different Machine Learning Approaches. ...
Further study used a semantic approach; the authors of [9] proposed sentiment classification based on word2vec and SVMperf. The study consists of two parts. ...
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Sentiment Analysis of Danmaku Videos Based on Naïve Bayes and Sentiment Dictionary
<span title="">2020</span>
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These live comments contain complex and rich sentiments, reflecting users' instant opinions and feelings on video programs. ...
Danmaku is a live commenting function where the comments related to the video being screened are created by users and prominently shown in real-time on the video screen. ...
[24] proposed a method based on Word2vec and SVMperf to classify Chinese comment texts. ...
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Kelime Vektörü Yöntemlerinin Model Oluşturma Sürelerinin Karşılaştırılması
<span title="2019-04-30">2019</span>
<i title="International Journal of Informatics Technologies">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/heqikokm35ervdsppquidtxm7i" style="color: black;">Bilişim Teknolojileri Dergisi</a>
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In this study, three different methods for modeling a text are suggested on both CBoW and Skip-Gram. Its modeling time (training time) is measured. ...
While the model is creating that has used two different methods CBoW and Skip-Gram of Word2Vec. Generally, the arithmetic mean is used for modeling a text with Word2Vec. ...
Xu, "Chinese comments sentiment classification based on word2vec and SVMperf", Expert Systems with Applications, 42(4), 1857-1863, 2015. [2] B. Dickinson, W. ...
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An LSTM&Topic-CNN Model for Classification of Online Chinese Medical Questions
<span title="">2021</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
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The authors would like to thank the editor and the referees for their insightful comments that have led to a substantial improvement to an earlier version of the paper. ...
[17] adopted a new method which combined the Word2vec and SVMperf to train and classify the Chinese comment texts. Edara et al. ...
Hence, we establish an LSTM&Topic-CNN model based on the fusion of text semantic features and topic features and apply it to the classification of Chinese medical text. ...
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A Two-Step Approach for Improving Sentiment Classification Accuracy
<span title="">2021</span>
<i title="Computers, Materials and Continua (Tech Science Press)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a6m5ovtnq5h6bb2dcb357moo4a" style="color: black;">Intelligent Automation and Soft Computing</a>
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The way toward investigating different opinions and gathering them in every one of these categories is known as Sentiment Analysis. ...
The proposed article is an effort to find a model which can improve the classification accuracy of sentiment data. ...
C4.5 88.5% [24] • Chinese comments on clothing • word2vec and SVMperf 87.1% to products 90.30%
Table 2 : 2 Accuracy of base classifiers on the Amazon dataset Classifier 10,000 instances 3,000 instances ...
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