Exploiting expectation maximization algorithm for sentiment analysis of product reviews

机译：利用期望最大化算法进行产品评论情感分析

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摘要

Millions of comments are available on forums, Facebook, Tweeter, YouTube etc. Proper analysis of these huge comments can lead to solve many social, economic, political, business related questions which otherwise are difficult to understand and analyse. Proposed system explores the statistical approach for sentiment analysis of product reviews using expectation maximization algorithm. Systematic mathematical model has been developed for the proposed system.

机译：在论坛，Facebook，Tweeter，YouTube等上有数以百万计的评论。对这些巨大评论的正确分析可以解决许多与社会，经济，政治，商业相关的问题，否则这些问题很难理解和分析。拟议系统探索了使用期望最大化算法对产品评论进行情感分析的统计方法。已经为所提出的系统开发了系统数学模型。

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《International Conference on Mobile Software Engineering and Systems》|2017年|390-396|共7页
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Nilesh M. Shelke; Shriniwas Deshpande; Vilas Thakre;
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Feature extraction; Sentiment analysis; Semantics; Standards; Mathematical model; Conferences; Algorithm design and analysis;

机译：特征提取;情感分析;语义;标准;数学模型;会议;算法设计与分析;

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专利

1. Exploiting Chi Square Method for Sentiment Analysis of Product Reviews [J] . Nilesh M Shelke, Shrinivas P Deshpande International journal of synthetic emotions . 2018,第2期

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2. Sentiment Analysis of Product Reviews using Support Vector Machine Learning Algorithm [J] . Esha Tyagi, Arvind Kumar Sharma Indian Journal of Science and Technology . 2017,第35期

机译：支持向量机学习算法的产品评论情感分析
3. A Theoretical Framework for Iterative Synchronization Based on the Sum–Product and the Expectation-Maximization Algorithms [J] . Cdric Herzet, Valry Ramon, Luc Vandendorpe IEEE Transactions on Signal Processing . 2007,第期

机译：基于和积和期望最大化算法的迭代同步理论框架
4. Exploiting expectation maximization algorithm for sentiment analysis of product reviews [C] . Nilesh M. Shelke, Shriniwas Deshpande, Vilas Thakre International Conference on Inventive Communication and Computational Technologies . 2017

机译：利用期望最大化算法的产品评论意见分析
5. Constrained expectation-maximization (EM), dynamic analysis, linear quadratic tracking, and nonlinear constrained expectation-maximization (EM) for the analysis of genetic regulatory networks and signal transduction networks. [D] . Xiong, Hao. 2008

机译：约束期望最大化（EM），动态分析，线性二次跟踪和非线性约束期望最大化（EM），用于分析遗传调控网络和信号转导网络。
6. Human leukocyte antigen (HLA) A-C-B-DRB1-DQB1 haplotype segregation analysis among 2152 families in China and the comparison to expectation-maximization algorithm result [O] . Yang Li, Lu-Yao Chen, Teng-Teng Zhang, 2021

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7. Product Review Sentiment Analysis by Artificial Neural Network Algorithm [O] . Tri Astuti, Irnawati Pratika 2019

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8. Analysis of the Volume of Red Blood Cells: Application of the Expectation-Maximization Algorithm to Grouped Data from the Doubly-Truncated Lognormal Distribution [R] . McLaren, C. E. , Brittenham, G. M. , Hasselblad, V. 1986

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Exploiting expectation maximization algorithm for sentiment analysis of product reviews

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