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Sentiment Classification using N-gram IDF and Automated Machine Learning [article]

Rungroj Maipradit, Hideaki Hata, Kenichi Matsumoto
2019 arXiv   pre-print
We propose a sentiment classification method with a general machine learning framework.  ...  In the comparison using publicly available datasets, our method achieved the highest F1 values in positive and negative sentences on all datasets.  ...  Because of the poor accuracy of existing sentiment analysis tools trained with general sentiment expressions [4] , recent studies have tried to customize such tools with software engineering datasets  ... 
arXiv:1904.12162v2 fatcat:cp7javhekjdvtkwynpd53js5ru

Enhancing text classification performance by preprocessing misspelled words in Indonesian language

Reza Setiabudi, Ni Made Satvika Iswari, Andre Rusli
2021 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
Supervised learning using shallow machine learning methods is still a popular method in processing text, despite the rapidly advancing sector of unsupervised methodologies using deep learning.  ...  Supervised text classification for application user feedback sentiments in Indonesian Language is one of the applications which is quite popular in both the research community and industry.  ...  We also thank our colleagues from the Faculty of Engineering and Informatics who provided insight and expertise that greatly assisted the research, although they may not agree with all of the interpretations  ... 
doi:10.12928/telkomnika.v19i4.20369 fatcat:zz3jpqy6svg7dlvg2wbccnqziq

Sentiment Analysis of Comment Texts Based on BiLSTM

Guixian Xu, Yueting Meng, Xiaoyu Qiu, Ziheng Yu, Xu Wu
2019 IEEE Access  
The technology of sentiment analysis is a part of artificial intelligence, and its research is very meaningful for obtaining the sentiment trend of the comments.  ...  Under the same conditions, the proposed sentiment analysis method is compared with the sentiment analysis methods of RNN, CNN, LSTM, and NB.  ...  to some extent. 2) COMPARISON OF THE SENTIMENT ANALYSIS FOR DIFFERENT SENTIMENT ANALYSIS METHODS In order to further prove the effectiveness of the sentiment analysis method proposed in this paper,  ... 
doi:10.1109/access.2019.2909919 fatcat:toriktyx7venjhuifh225jyozi

Exploiting the Unique Expression for Improved Sentiment Analysis in Software Engineering Text [article]

Kexin Sun, Hui Gao, Hongyu Kuang, Xiaoxing Ma, Guoping Rong, Dong Shao, He Zhang
2021 arXiv   pre-print
In this paper, we propose to improve sentiment analysis in SE texts by using sentence structures, a different perspective from building a domain dictionary.  ...  Sentiment analysis on software engineering (SE) texts has been widely used in the SE research, such as evaluating app reviews or analyzing developers sentiments in commit messages.  ...  This paper aims to improve sentiment analysis for software engineering by characterizing the unique way of expression in SE texts based on sentence structures.  ... 
arXiv:2103.13154v1 fatcat:mklmwpio2naifh42osg4763z5e

Sentiment Analysis by Exploring Large Scale Web-based Chinese Short Text

Ziyu Liu, Yonggang Qi, Zhanyu Ma, Jie Yang
2018 DEStech Transactions on Computer Science and Engineering  
It diminishes the judgment errors induced by the inadequate vocabulary size of the sentiment dictionary in the Hard mapping sentiment analysis.  ...  Our result shows the improvement in short text sentiment analysis of the model by using the soft mapping sentiment analysis model.  ...  A Hard Mapping Sentiment Analysis Model A Hard mapping sentiment analysis is designed for experiments on forum dataset. The detailed method is illustrated in Figure 2 .  ... 
doi:10.12783/dtcse/csae2017/17572 fatcat:wwqnsn5dtbhfhfe7duac57hfdy

Detection of Sentiment Analysis in Social Media using Deep Learning

2020 International journal of recent technology and engineering  
for social media so as to propose a self-developed military sentiment dictionary for improving sentiment classification and analyze the performance of various deep learning models with various parameter  ...  In recent years, sentiment analysis has not only emerged under knowledge fusion within the big data era, but has also become a well-liked research topic within the area of AI and machine learning.  ...  In this study, sentiment training for text mining and deep learning is carried out using a systematic method with the support of a self-developed military sentiment dictionary, while an effective analysis  ... 
doi:10.35940/ijrte.a1927.059120 fatcat:eaw5doex6zcn5pbpqplqyl4chu

Sentiment Analyzing by Dictionary based Approach

Fatehjeet Kaur, Rekha Bhatia
2016 International Journal of Computer Applications  
Sentiment analysis has emerged as a field of study since the widespread of World Wide Web and internet.  ...  In this paper it is proposed that the sentiment analysis done by dictionary based approach. The consequence viewpoint is described as very high, high, moderate, low and very low.  ...  A unique knowledge engineering method is proposed to determine this sentiment polarity, that applies text-categorization methods to justify the subjective sections of the record or document.  ... 
doi:10.5120/ijca2016911814 fatcat:c3ozdmtnwnfibhti4whhsznnom

Effects of using wordnet and spelling checker on classification methods in sentiment analysis for datasets using Bahasa

Rizky Andika, Suharjito Suharjito
2022 Indonesian Journal of Electrical Engineering and Computer Science  
<span>Sentiment analysis was a system for recognizing and extracting opinions in documents. There were two weaknesses in sentiment analysis.  ...  In this paper, we proposed spelling checker and wordnet to fix these weaknesses. We also used k-nearest neighbor (KNN), Naïve Bayes, and decision tree as methods for check classify the text.  ...  The author also does not forget to thank you for the feedback, comments and suggestions that are useful for the journal that the author has created, resulting in a much better journal presentation.  ... 
doi:10.11591/ijeecs.v25.i3.pp1662-1671 fatcat:43f2xcj5njeejhrygkgjgvyv7q

Spatial and Temporal Sentiment Analysis of Twitter data [chapter]

Zhiwen Song, Jianhong (Cecilia) Xia
2016 European Handbook of Crowdsourced Geographic Information  
A sentiment analysis was then conducted for each zone using the sentiment analyser tool in the Starlight Visual Information System software.  ...  The number of negative Tweets 206 European Handbook of Crowdsourced Geographic Information increases in the library and science and engineering areas as the end of the semester approaches, reaching a peak  ...  We would also like to thank Dr Wei Liu to share Twitter data with the research team, The views expressed in this article are those of the authors, and do not necessarily reflect the policies of any organisation  ... 
doi:10.5334/bax.p fatcat:27vrtvkw2ngkfi4enmkrnflg6a

Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques

Kia Dashtipour, Soujanya Poria, Amir Hussain, Erik Cambria, Ahmad Y. A. Hawalah, Alexander Gelbukh, Qiang Zhou
2016 Cognitive Computation  
We present a state-of-the-art review on multilingual sentiment analysis. More importantly, we compare our own implementation of existing approaches on common data.  ...  The amount of research work on sentiment analysis is growing explosively.  ...  Comparison of Multilingual Sentiment Analysis Techniques In the previous sections, we have described a variety of sentiment analysis techniques.  ... 
doi:10.1007/s12559-016-9415-7 pmid:27563360 pmcid:PMC4981629 fatcat:pr63qqnvazfjll6bakqtlupfj4

Detecting Emotions in Comments on Forums

Daniela Gîfu, Marius Cioca
2014 International Journal of Computers Communications & Control  
We present in this paper a method for integrating Romanian lexical resources from emotional perspective, in developing, which can be used in sentiment analysis.  ...  Furthermore, we are interested to use it for establishing Gold standards in sentiment analysis area, such as SentiWordNet.  ...  I am also grateful to the NLP-Group@UAIC-FII for offering me support in using some tools for automatic interpretation of Romanian language.  ... 
doi:10.15837/ijccc.2014.6.1474 fatcat:owij65zxafcqpcgommioum3chy

The Effects of Emoji in Sentiment Analysis

Serkan Ayvaz, Mohammed O. Shiha
2017 International Journal of Computer and Electrical Engineering  
We collected text data for some global positive and negative events to analyze the impact of Emoji characters in sentiment analysis.  ...  Furthermore, we observed that the usage of Emoji characters in sentiment analysis appeared to have higher impact on overall sentiments of the positive opinions in comparison to the negative opinions.  ...  Prior to joining the Cleveland Clinic, he had worked as a software engineer at Hartville Group for three years.  ... 
doi:10.17706/ijcee.2017.9.1.360-369 fatcat:hcjmdppiwff7lkswl5yuopnkky

Sentiment Polarity Detection for Software Development

Fabio Calefato, Filippo Lanubile, Federico Maiorano, Nicole Novielli
2017 Empirical Software Engineering  
The role of sentiment analysis is increasingly emerging to study software developers' emotions by mining crowd-generated content within social software engineering tools.  ...  Here, we present Senti4SD, a classifier specifically trained to support sentiment analysis in developers' communication channels.  ...  Acknowledgments This work is partially supported by the project 'EmoQuest -Investigating the Role of Emotions in Online Question & Answer  ... 
doi:10.1007/s10664-017-9546-9 fatcat:y3vi4w23mveehhkegsph7cq7pq

Porting Multilingual Subjectivity Resources across Languages

Carmen Banea, Rada Mihalcea, Janyce Wiebe
2013 IEEE Transactions on Affective Computing  
Given a bridge between English and the selected target language (e.g., a bilingual dictionary or a parallel corpus), the methods can be used to rapidly create tools for subjectivity analysis in the new  ...  In this paper, we explore methods for generating subjectivity analysis resources in a new language by leveraging on the tools and resources available in English.  ...  Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.  ... 
doi:10.1109/t-affc.2013.1 fatcat:y4cwk57cvncahhvmxjovzkt53a

Analysis of Speech in Human Communication

Basavaraj N Hiremath, Malini M Patil
2019 Zenodo  
It forms a basic block for copious knowledge into various analysis like lexical analytics, natural language processing, text mining, sentiment and satire.  ...  The work carried out in the paper focuses on presenting the comparative analysis real time voice data sample and the benchmark voice data in praat for all the parameters of the voice analysis.  ...  We thank the team of All India institute of speech and Hearing Mysore for having given resourceful information knowledge about relevant software and publication materials for conducting research work.  ... 
doi:10.5281/zenodo.3250517 fatcat:eij4wmuxhzajvciw3z4cw4mzie
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