162,882 Hits in 5.7 sec

Comparing and combining sentiment analysis methods

Pollyanna Gonçalves, Matheus Araújo, Fabrício Benevenuto, Meeyoung Cha
2013 Proceedings of the first ACM conference on Online social networks - COSN '13  
We also present a free Web service called iFeel, which provides an open API for accessing and comparing results across different sentiment methods for a given text.  ...  Sentiment analysis has been used in several applications including analysis of the repercussions of events in social networks, analysis of opinions about products and services, and simply to better understand  ...  This work was funded by the Brazilian National Institute of Science and Technology for the Web (MCT/CNPq/INCT grant number 573871/2008-6) and grants from CNPq, CAPES and FAPEMIG. This  ... 
doi:10.1145/2512938.2512951 dblp:conf/cosn/GoncalvesABC13 fatcat:pchkf2orqrg4pmdgg6bix2msti

Sentiment Analysis of English Text with Multilevel Features

Li Rao, Baiyuan Ding
2022 Scientific Programming  
Traditional sentiment analysis methods can be roughly divided into two categories: one is dictionary-based methods, and the other is machine learning-based methods.  ...  expression feature, and the improved semantic feature, which are combined to build a text sentiment classification model.  ...  Mertiya et al. combined machine learning methods with dictionaries and performed sentiment analysis around comments on Facebook, providing a new idea of combining the two.  ... 
doi:10.1155/2022/7605125 fatcat:rvxvlsbo3bcmnc77k3lrkcbqta

Convolutional Neural Networks for Multimedia Sentiment Analysis [chapter]

Guoyong Cai, Binbin Xia
2015 Lecture Notes in Computer Science  
Compared to sentiment analysis of texts and images separately, the combination of text and image may reveal tweet sentiment more adequately.  ...  Experimental results on two real-world datasets demonstrate that the proposed method achieves effective performance on multimedia sentiment analysis by capturing the combined information of texts and images  ...  Since little works focus on multimedia sentiment analysis, we just take text CNN, image CNN, the combination of SentiStrength and SentiBank, SVM and Logistic Regression as comparative methods against multi  ... 
doi:10.1007/978-3-319-25207-0_14 fatcat:qtim3nkrmnegpjzsxl273ligie

A Study on Sentiment Analysis Techniques of Twitter Data

Abdullah Alsaeedi, Mohammad Zubair
2019 International Journal of Advanced Computer Science and Applications  
As such, this paper explores the various sentiment analysis applied to Twitter data and their outcomes.  ...  Sentiment analysis (or opinion mining) is a common dialogue preparing task that aims to discover the sentiments behind opinions in texts on varying subjects.  ...  Twitter Sentiment Analysis using Ensemble Approaches The basic principle of ensemble methods is to combine multiple classifiers with a view to obtaining more precise and accurate predictions.  ... 
doi:10.14569/ijacsa.2019.0100248 fatcat:sqmywbyk4bg55jd2kabeevtite

A Sentiment Analysis Approach using Effective Feature Reduction Method

Arash Mazidi, Elham Damghanijazi
2017 International Journal of Computer Applications  
Sentiment analysis has attracted researchers in recent years which aims to present an automatic method for analyzing comments, assessments, opinions and sentiments of a text.  ...  Keywords Sentiment analysis, Feature selection method, machine learning, support vector machine, information gain, information gain ratio.  ...  As mentioned before, in this paper, it has been tried to present a vector of important and effective features in sentiment analysis and their proper combination.  ... 
doi:10.5120/ijca2017914815 fatcat:zsgjl5tbrbdipghvcadjqaquhu

Chinese Text Sentiment Analysis using Bilinear Character-Word Convolutional Neural Networks

Xu Wang, Jing Li, Xi Yang, Yangxu Wang, Yongsheng Sang
2018 DEStech Transactions on Computer Science and Engineering  
Our model represent a Chinese sentence as a bilinear combination of features learned from two-stream CNN models, which receives character-level and word-level embedding features as input, respectively.  ...  Text Sentiment Analysis (TSA) is becoming a hot area of research in the field of Natural Language Processing (NLP).  ...  Word Only (WOCNN): This is a traditional word-level sentiment analysis method, which use word-level features as input [8] .  ... 
doi:10.12783/dtcse/csae2017/17466 fatcat:e5ymvfzxnraqpeog7tneelsp34

Malay sentiment analysis based on combined classification approaches and Senti-lexicon algorithm

Ahmed Al-Saffar, Suryanti Awang, Hai Tao, Nazlia Omar, Wafaa Al-Saiagh, Mohammed Al-bared, Erik Cambria
2018 PLoS ONE  
In addition, the supervised machine learning approaches and lexicon knowledge method are combined for Malay sentiment classification with evaluating thirteen features.  ...  analysis based on the combined classification.  ...  The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Author Contributions Conceptualization: Ahmed Al-Saffar.  ... 
doi:10.1371/journal.pone.0194852 pmid:29684036 pmcid:PMC5912726 fatcat:hjyygmdjv5bjdpdjnt6ibckrcm

10Sent: A Stable Sentiment Analysis Method Based on the Combination of Off-The-Shelf Approaches [article]

Philipe F. Melo, Daniel H. Dalip, Manoel M. Junior, Marcos A. Gonçalves, Fabrício Benevenuto
2017 arXiv   pre-print
In this context, in here, we propose to combine several very popular and effective state-of-the-practice sentiment analysis methods, by means of an unsupervised bootstrapped strategy for polarity classification  ...  Sentiment analysis has become a very important tool for analysis of social media data.  ...  Conclusions We presented a novel unsupervised approach for sentiment analysis on sentence-level derived from the combination of several existing "off-the-shelf" sentiment analysis methods.  ... 
arXiv:1711.07915v1 fatcat:pa2zorruyff2pmh4yhzaeaaixa

Perspectives of the performance metrics in lexicon and hybrid based approaches: a review

Meesala Shobha Rani, Sumathy S
2017 International Journal of Engineering & Technology  
Semantic detection is the sub-class in the sentiment analysis which is used for measuring the sentiment orientation in any text. Opinionated text is used for analyzing and making the decision simple.  ...  Sentiment analysis, a sub-category of text mining is the major active research domain in current era due to greater quantity of opinionated text present in the Internet.  ...  The framework is evaluated and compared with seven well known benchmark datasets which gives better results. The proposed method is used for sentimental analysis and polarity classification.  ... 
doi:10.14419/ijet.v6i4.8295 fatcat:uyrcl7z2o5fzrkfngxt76rt7we

Polarity Analysis of Customer Reviews Based on Part-of-Speech Subcategory

Ayman S. Ghabayen, Basem H. Ahmed
2019 Journal of Intelligent Systems  
Nowadays, sentiment analysis is a method used to analyze the sentiment of the feedback given by a user in an online document, such as a blog, comment, and review, and classifies it as negative, positive  ...  Several experiments were conducted to examine and compare the efficacies of the proposed method in terms of F-measure, recall, and precision using an Amazon dataset.  ...  Bibliography Figure 1 : 1 Sentiment Analysis Process [13] . Figure 2 : 2 Sentiment Classification Framework. Table 1 : 1 Summary of the Reported Methods.  ... 
doi:10.1515/jisys-2018-0356 fatcat:azhaki3zevdhvodurgdlvyszf4

A Framework for English and Malay Cross-lingual Document Alignment Method

Nurul Amelina Nasharuddin, Universiti Putra Malaysia, Selangor, Malaysia
2019 International Journal of Advanced Trends in Computer Science and Engineering  
The proposed sentiment-based approach outperformed existing alignment methods and improved the effectiveness in differentiating the related and unrelated documents.  ...  These aligned comparable documents can further be utilised in translation research for the English and Malay cross-lingual information retrieval tasks.  ...  sentiment analysis in facilitating the alignment method.  ... 
doi:10.30534/ijatcse/2019/3881.32019 fatcat:kyadoud25naezlnjhjybywplue

Media Sentiment Analysis of East Java Province: Lexicon-Based vs Machine Learning

Ikhwan Rustanto, Nur Aini Rakhmawati
2021 IPTEK Journal of Proceedings Series  
So the more machine learning method and the lexicon-based method [4]. information they get, the more feedback people give the This study will use a lexicon-based method and compare  ...  In sentiment analysis using a lexicon-based method, E.  ... 
doi:10.12962/j23546026.y2020i6.11094 fatcat:7lfgju3ovvdhjd4leh7g36isey

A Survey of Sentiment Analysis Based on Transfer Learning

Ruijun LIU, Yuqian SHI, Changjiang JI, Ming JIA
2019 IEEE Access  
opportunities and challenges to the sentiment analysis.  ...  This survey summarizes the relevant research results of the sentiment analysis in recent years and focuses on the algorithms and applications of transfer learning in the sentiment analysis, and we look  ...  By comparing the basic models and experimental performance of different methods, users can be provided with more detailed sentiment analysis resources to compare different methods.  ... 
doi:10.1109/access.2019.2925059 fatcat:m7fpkulrcrcsfno523uzjxai4q

Event Recommendation System using Hybrid Method Based on Mobile Device

Dio Saputra Kudori
2021 Journal of Information Technology and Computer Science  
In this study we tried to use a hybrid method that combines collaborative filteringwith sentiment analysis.  ...  The event recommendation system has a unique character compared to other recommendation systems.  ...  Hybrid method that we proposed is a combination of the user-based collaborative filtering and sentiment analysis.  ... 
doi:10.25126/jitecs.202161221 fatcat:vk3z7iv3qrac7hagjhspqhkxo4

Sentiment Analysis using Optimized Feature Sets in Different Facebook/Twitter Dataset Domains using Big Data

Mohammed Ibrahim Al-mashhadani, Kilan M. Hussein, Enas Tariq Khudir, Muhammad ilyas
2022 Iraqi Journal for Computer Science and Mathematics  
The sentiment analysis for Facebook OSNs messages is very challenging tasks as compared to other sentiment analysis because of misspellings and slang words presence in twitter dataset.  ...  Then proposed the new approach for sentiment analysis based on hybrid features extraction methods and multi-class Support Vector Machine (SVM).  ...  COMPARATIVE ANALYSIS RECENT SENTIMENT ANALYSIS METHODS Author and Year Big -Data Framework Related Metrics  ... 
doi:10.52866/ijcsm.2022.01.01.007 fatcat:v7lq5lyaxvaozhabrp5w332eri
« Previous Showing results 1 — 15 out of 162,882 results