Daffodil International University

Faculty of Science and Information Technology => Recent Technologies and Trends in Software Engineering => Software Engineering => Natural Language Processing => Topic started by: motiur.swe on July 28, 2018, 11:12:06 AM

Title: Evaluation of Sentiment Classification
Post by: motiur.swe on July 28, 2018, 11:12:06 AM

Abstract. Text vectorization, features extraction and machine learning algorithms play a vital role to the field of sentiment classification.  Accuracy of sentiment classification varies depending on various machine learning approaches, vectorization models and   features extraction methods.  This paper represents multiple ways of evaluations with the necessary steps needed to achieve highest accuracy for classifying the sentiment of reviews. We  apply two n-gram vectorization  models - Unigram and Bigram individually. Later on, we also apply features extraction method TF-IDF with Unigram and Bigram respectively.  Five ensemble machine learning algorithms namely Random Forest (RF), Extra Tree (ET), Bagging Classifier (BC), Ada Boost (ADA) and Gradient Boost (GB) are used here. The key findings in this study is to determine which combination of vectorization models (Bigram, Unigram) along with feature  extraction  method  (TF-IDF) and ensemble classifier gives the better performance of sentiment classification.

Details: http://iopscience.iop.org/article/10.1088/1742-6596/1060/1/012036/pdf

Title: Re: Evaluation of Sentiment Classification
Post by: priankaswe on August 05, 2018, 10:09:23 AM

Thanks for sharing  :)

Title: Re: Evaluation of Sentiment Classification
Post by: motiur.swe on August 06, 2018, 02:41:52 PM

Welcome..  :)

Title: Re: Evaluation of Sentiment Classification
Post by: iftekhar.swe on September 06, 2018, 01:38:03 PM

good to know about it...

Title: Re: Evaluation of Sentiment Classification
Post by: khalid on April 20, 2019, 10:40:43 AM

Important one

Title: Re: Evaluation of Sentiment Classification
Post by: azizur on April 20, 2019, 11:23:04 AM

Sir,
Thanks for sharing  :)

Title: Re: Evaluation of Sentiment Classification
Post by: Abdus Sattar on April 20, 2019, 01:04:23 PM

Thanks for sharing

Title: Re: Evaluation of Sentiment Classification
Post by: s.arman on April 21, 2019, 02:15:20 AM

informative