Ranking Analysis for Online Customer Reviews of Products Using Opinion Mining with Clustering

Lakshmanaprabu, S.K.; Shankar, K.; Gupta, Deepak; Khanna, Ashish; Rodrigues, Joel J. P. C.; Pinheiro, Plácido Rogério; Albuquerque, Victor Hugo C. de

doi:10.1155/2018/3569351

Cited by 50 publications

(20 citation statements)

References 24 publications

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“…Presently, fuzzy logic has been finding useful in different areas because of its merits like low computational time, flexible, low cost, low storage space, and fault tolerance [8]. After the deployment of WMSN nodes, each node will execute fuzzy logic and determines the probability of becoming CH (PBCH).…”

Section: A Fuzzy Logic Based Ch Selectionmentioning

confidence: 99%

Reliable Multi-Object Tracking Model Using Deep Learning and Energy Efficient Wireless Multimedia Sensor Networks

et al. 2020

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Presently, sensor-cloud based environment becomes highly beneficial due to its applicability in several domains. Wireless multimedia sensor network (WMSN) is one among them, which involves a set of multimedia sensors to collect data about the deployed region. Compared to traditional object tracking models, animal tracking in WMSN is a tedious process owing to the harsh, dynamic, and energy limited sensors. This paper introduces a new Reliable Multi-Object Tracking Model using Deep Learning (DL) and Energy Efficient WMSN. Initially, the fuzzy logic technique is employed to determine the cluster heads (CHs) to attain energy efficiency. Next, in the second stage, a novel tracking algorithm by the use of Recurrent Neural Network (RNN) with a tumbling effect called RNN-T is developed. The proposed RNN-T model gets executed by every sensor node and the CHs execute the tracking algorithm to track the animals. Finally, the tracking results are transmitted to the cloud server for investigation purposes. In order to assess the performance of the presented model, an extensive experimental analysis is carried out by the use of a realtime wildlife video. The obtained results ensured that the RNN-T model has achieved better performance over the compared methods in different aspects.

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Section: A Fuzzy Logic Based Ch Selectionmentioning

confidence: 99%

Reliable Multi-Object Tracking Model Using Deep Learning and Energy Efficient Wireless Multimedia Sensor Networks

et al. 2020

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“…In IoT, a paper uses effective feature to classify big data using social Internet of Things 62 . In e‐commerce market, a paper uses ideal features for ranking analysis for online customer reviews of products using opinion mining with clustering 63 …”

Section: Literature Reviewmentioning

confidence: 99%

Manual versus automated qualitative usability assessment of interactive systems

Sagar

Gupta

Sangaiah

2018

Concurrency and Computation

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The purpose of this paper is to compare the end results generated after usability assessment by two different ways. The assessment of top-fifty academic websites is done by employing the tool and by involving end-users. This research work is performed to assess latest heuristic guidelines for academic websites under three different categories i.e. {Social Media, Mobile and Security} by involving a hundred end-users as well as by evaluating the websites using the tool. Association rule is implemented on the collected qualitative data to recognize common usability problem patterns pertaining to academic websites but from two uncommon perspectives. This study further compares these problematic patterns to provide more comprehensive analysis. Our findings investigate that most of the usability problems have been uncovered by the end-users on academic websites that are not detected by tool. In other words, there are several key features that these tools are failed to evaluate. On the contrary, end-users can help in evaluating these features and uncover remarkable usability problematic issues on any interactive system.

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“…OM is a field of study, which handles knowledge detection and information retrieval, from the text [3,4] with the help of NLP and DM approaches. DM is a procedure which utilizes data analyses tools to find and uncover the relationships and patterns amongst data that might lead to extraction of novel information from huge databases [5].…”

Section: Introductionmentioning

confidence: 99%

Design of Automated Opinion Mining Model Using Optimized Fuzzy Neural Network

Eshmawi¹,

Alhumyani²,

Khalek³

et al. 2022

Computers, Materials &Amp; Continua

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Sentiment analysis or Opinion Mining (OM) has gained significant interest among research communities and entrepreneurs in the recent years. Likewise, Machine Learning (ML) approaches is one of the interesting research domains that are highly helpful and are increasingly applied in several business domains. In this background, the current research paper focuses on the design of automated opinion mining model using Deer Hunting Optimization Algorithm (DHOA) with Fuzzy Neural Network (FNN) abbreviated as DHOA-FNN model. The proposed DHOA-FNN technique involves four different stages namely, preprocessing, feature extraction, classification, and parameter tuning. In addition to the above, the proposed DHOA-FNN model has two stages of feature extraction namely, Glove and N-gram approach. Moreover, FNN model is utilized as a classification model whereas GTOA is used for the optimization of parameters. The novelty of current work is that the GTOA is designed to tune the parameters of FNN model. An extensive range of simulations was carried out on the benchmark dataset and the results were examined under diverse measures. The experimental results highlighted the promising performance of DHOA-FNN model over recent state-of-the-art techniques with a maximum accuracy of 0.9928.

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Ranking Analysis for Online Customer Reviews of Products Using Opinion Mining with Clustering

Cited by 50 publications

References 24 publications

Reliable Multi-Object Tracking Model Using Deep Learning and Energy Efficient Wireless Multimedia Sensor Networks

Reliable Multi-Object Tracking Model Using Deep Learning and Energy Efficient Wireless Multimedia Sensor Networks

Manual versus automated qualitative usability assessment of interactive systems

Design of Automated Opinion Mining Model Using Optimized Fuzzy Neural Network

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