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Unsupervised Opinion Polarity Detection based on New Lexical Resources

Mario Amores, Leticia Arco, Claudia Borroto
2016 Journal of Computacion y Sistemas  
We present the SentiWordNet 4.0 and the SpanishSentiWordNet in order to solve the detected drawbacks of previous resources.  ...  The integration of the proposed resources is solved by combining them in the PolarityDetection library, which is integrated to PosNeg Opinion 2.0 and facilitates obtaining high accuracy and recall values  ...  model was obtained.  ... 
doi:10.13053/cys-20-2-2318 fatcat:o626bld3t5em7cxw4phruigeki

Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks

Hongbo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang, Yue Lu
2014 Statistical analysis and data mining  
In this paper, we propose a novel information network-based framework which can infer hidden similarity and dissimilarity between users by exploring similar and opposite opinions, so as to improve postlevel  ...  and user-level sentiment classification in the same time.  ...  Acknowledgments The work was supported in part by the U.S. National Science Foundation grants IIS-0905215, by the U.S. Army Research Laboratory under Cooperative Agreement No.  ... 
doi:10.1002/sam.11223 fatcat:ksjevejdbbbiha4j5pnirystii

Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks [chapter]

Hongbo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang, Yue Lu
2013 Proceedings of the 2013 SIAM International Conference on Data Mining  
In this paper, we propose a novel information network-based framework which can infer hidden similarity and dissimilarity between users by exploring similar and opposite opinions, so as to improve postlevel  ...  and user-level sentiment classification in the same time.  ...  Acknowledgments The work was supported in part by the U.S. National Science Foundation grants IIS-0905215, by the U.S. Army Research Laboratory under Cooperative Agreement No.  ... 
doi:10.1137/1.9781611972832.42 dblp:conf/sdm/DengHJLLW13 fatcat:kbw6mzcw7fgmlea66b3acphcta

Climate Change Sentiment Analysis Using Lexicon, Machine Learning and Hybrid Approaches

Nabila Mohamad Sham, Azlinah Mohamed
2022 Sustainability  
In this context, seven lexicon-based approaches were used, namely SentiWordNet, TextBlob, VADER, SentiStrength, Hu and Liu, MPQA, and WKWSCI.  ...  Sentiment analysis has been a popular subject and there has been a plethora of research conducted in this area in recent decades, typically on social media platforms such as Twitter, due to the proliferation  ...  Conflicts of Interest: On behalf of all authors, the corresponding author states that there is no conflict of interest.  ... 
doi:10.3390/su14084723 fatcat:fhwa552ppbhq5lw4e744az52b4

Capturing Contextual Factors in Sentiment Classification: An Ensemble Approach

Thien Khai Tran, Tuoi Thi Phan
2020 IEEE Access  
Previous studies have focused on using several techniques to solve this problem.  ...  In this paper, we propose an effective ensemble learning model for the sentiment classification problem.  ...  ACKNOWLEDGMENT The authors would like to thank Ho Chi Minh City University of Technology (HCMUT), and VNU-HCM for their support.  ... 
doi:10.1109/access.2020.3004180 fatcat:ro74lbephjgkfj3llir3lqz7y4

Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19

Muhammad Mujahid, Ernesto Lee, Furqan Rustam, Patrick Bernard Washington, Saleem Ullah, Aijaz Ahmad Reshi, Imran Ashraf
2021 Applied Sciences  
Keeping in view the adequacy and efficacy of machine learning models, this study adopts TextBlob, VADER (Valence Aware Dictionary for Sentiment Reasoning), and SentiWordNet to analyze the polarity and  ...  Performance comparison is carried out for results of TextBlob, VADER, and SentiWordNet, as well as classification results of machine learning models and deep learning models such as CNN (Convolutional  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/app11188438 fatcat:pnd53qulpfclropcwbb65y3lza

Big Data Aspect-Based Opinion Mining Using the SLDA and HME-LDA Models

Ling Yuan, JiaLi Bin, YinZhen Wei, Fei Huang, XiaoFei Hu, Min Tan, Amr Tolba
2020 Wireless Communications and Mobile Computing  
Allocation) models, namely, SLDA (SentiWordNet WordNet-Latent Dirichlet Allocation) and HME-LDA (Hierarchical Clustering MaxEnt-Latent Dirichlet Allocation), for aspect-based opinion mining.  ...  For better classification effect, the similarity between words and seed words is calculated in two ways to offset the fixed parameters in the standard LDA.  ...  Luckily, the HME-LDA model solves the problem. Next, we will illustrate the two optimized models of schemes in detail. 2.1. Optimized Model, SLDA, Based on SentiWordNet and WordNet.  ... 
doi:10.1155/2020/8869385 fatcat:6e72klhmtvh2fmewjwmucoaq5y

GIF Video Sentiment Detection Using Semantic Sequence

Dazhen Lin, Donglin Cao, Yanping Lv, Zheng Cai
2017 Mathematical Problems in Engineering  
In this context, we propose a SentiPair Sequence based GIF video sentiment detection approach with two contributions.  ...  With the development of social media, an increasing number of people use short videos in social media applications to express their opinions and sentiments.  ...  To solve the problem of modeling object-based visual concepts, Chen et al. [11] proposed a hierarchical framework to handle the concept classification in an object specific manner.  ... 
doi:10.1155/2017/6863174 fatcat:7pblr5zti5g4tlo5gxziwibj64

Sentiment Interaction Distillation Network for Image Sentiment Analysis

Lifang Wu, Sinuo Deng, Heng Zhang, Ge Shi
2022 Applied Sciences  
In addition, we propose a knowledge distillation framework to utilize interaction information guiding global context feature learning, which can avoid noisy features introduced by error propagation and  ...  Specifically, we first utilize a panoptic segmentation method to obtain objects in images; then, we propose a sentiment-related edge generation method and employ Graph Convolution Network to aggregate  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app12073474 fatcat:gakesvsiu5arzlka2janplzvnm

Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns

Soujanya Poria, Erik Cambria, Alexander Gelbukh, Federica Bisio, Amir Hussain
2015 IEEE Computational Intelligence Magazine  
The main novelty of the paper consists in an algorithm that assigns contextual polarity to concepts in text and flows this polarity through the dependency arcs in order to assign a final polarity label  ...  In this work, computational intelligence techniques are combined with common-sense computing and linguistics to analyze sentiment data flows, i.e., to automatically decode how humans express emotions and  ...  solved by traditional models.  ... 
doi:10.1109/mci.2015.2471215 fatcat:5krgmh7mrfdurihowib3vrsiqi

A Hybrid Framework for Sentiment Analysis using Genetic Algorithm based Feature Reduction

Farkhund Iqbal, Jahanzeb Maqbool, Benjamin C. M. Fung, Rabia Batool, Asad Masood Khattak, Saiqa Aleem, Patrick C. K. Hung
2019 IEEE Access  
To solve the scalability issue that arises as the feature-set grows, a novel genetic algorithm (GA)-based feature reduction technique is proposed.  ...  The experiment results have shown to accurately measure public sentiments and views regarding various topics such as terrorism, global conflicts, and social issues.  ...  We aim to cater this problem by discussing our proposed framework in the context of user opinion in association with geopolitical uprisings or conflicts.  ... 
doi:10.1109/access.2019.2892852 fatcat:5ixcf35l2zdk5m32gdfgtyxvvu

A Fuzzy Logic Based Intelligent System for Measuring Customer Loyalty and Decision Making

Usman Ghani, Imran Bajwa, Aimen Ashfaq
2018 Symmetry  
To find similarity and relevance to a topic, various libraries and API are used in this work such as SentiWordNet, Stanford Core NLP, etc.  ...  Our approach uses an aggregated sentiment score of a set of reviews in a dataset and then uses a fuzzy logic model to measure customer's loyalty to a product.  ...  Funding: No funding is involved in this research. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/sym10120761 fatcat:dabtv4llybhc5kyra3237l2oca

Spider Taylor-ChOA: Optimized Deep Learning Based Sentiment Classification for Review Rating Prediction

Santosh Kumar Banbhrani, Bo Xu, Hongfei Lin, Dileep Kumar Sajnani
2022 Applied Sciences  
words, hashtags, emoticons, and number of sentences are mined in feature extraction.  ...  The prediction of review rating is an imperative sentiment assessment task that aims to discover the intensity of users' sentiment toward a target product from several reviews.  ...  However, the technique did not include the combination of semantics in deep models. To combine the semantics of the deep model, Zheng T. et al.  ... 
doi:10.3390/app12073211 fatcat:cn6bjoix6bbitkic7v2zvx26za

Key Technologies and Discrete Dynamic Modeling Analysis of Online Travel Planning System Based on Big Data Scenario Aware Service

Yange Hao, Na Song
2021 Discrete Dynamics in Nature and Society  
It solves the problem of low scene perception satisfaction in the key technologies of online tourism planning system.  ...  This paper studies and designs a scenario aware service model in online travel planning system and proposes an online travel planning recommendation model which integrates collaborative filtering and clustering  ...  In order to solve the heavy task of maintaining and regularly updating the transit information of the transit travel planner's proprietary system and the problem that it is difficult to take advantage  ... 
doi:10.1155/2021/3244179 doaj:1d82b1143a1c4b92ad1e59c0387d948f fatcat:yqdghytfere37fqu344rh44she

Opinion Mining of Customer Reviews : Feature and Smiley Based Approach

Jayasekara I R, Wijayanayake W M J I
2016 International Journal of Data Mining & Knowledge Management Process  
With the rapid growth in ecommerce, reviews for popular products on the web have grown rapidly. Although these reviews are important for making decisions, it is difficult to read all the reviews.  ...  Since the precision values for feature extraction and both precision and recall values for opinion orientation identification were improved by the new algorithm, it is more successful in opinion mining  ...  Experimental results indicate that the proposed techniques are very promising in performing their tasks. In [5] feature-based opinion mining model is used.  ... 
doi:10.5121/ijdkp.2016.6101 fatcat:5io5dbyjrncyha5bhs35lhltcm
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