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Machine learning for internet of things data analysis: a survey
2018
Digital Communications and Networks
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The potential and challenges of machine learning for IoT data analytics will also be discussed. ...
A use case of applying Support Vector Machine (SVM) on Aarhus Smart City traffic data is presented for a more detailed exploration. ...
Ajit Joakar for their comments on the draft of the paper. We also thank Dr. Alireza Ahrabian and Utkarshani Jiamini for reviewing our paper. ...
doi:10.1016/j.dcan.2017.10.002
fatcat:blmg3fed4rajrnsksixvg2afty
Opinion Mining and Analysis: A Survey
2013
International Journal on Natural Language Computing
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We have provided an overall picture of what is involved in developing a software system for opinion mining on the basis of our survey and analysis. ...
We have surveyed and analyzed in this paper, various techniques that have been developed for the key tasks of opinion mining. ...
Machine Learning A system capable of acquiring and integrating the knowledge automatically is referred as machine learning. ...
doi:10.5121/ijnlc.2013.2304
fatcat:d76xeqeaovgr3gb4paxvkg7hxa
A Survey on Sentiment Analysis
2017
International Journal of Computer Applications
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This Paper describe different applications of sentiment analysis, techniques and challenges of sentiment analysis. ...
Sentiment analysis is process of extracting information from user"s opinions. Every person shares his or her information on social network sites, blogs, product review websites and webforums. ...
[1, 2, 4, 7]
Fig 1 Sentiment Classification techniques
Machine Learning approach for SA Machine learning approach is relies on upon ML algorithms to unravel the Sentiment Analysis as a standard ...
doi:10.5120/ijca2017913552
fatcat:xohpzz6e35antgljq5wnlawkue
Survey on Sentiment Analysis: A Comparative Study
2017
International Journal of Computer Applications
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Sentiment Analysis (SA) is one of the greatest broadly planned applications of Natural Language Processing (NLP) and Machine Learning (ML). ...
Accordingly, the Internet is nowadays a massive resource of opinion amusing written data. ...
CONCLUSION Sentiment Analysis is a machine learning issue that has been a research concern for recent years. ...
doi:10.5120/ijca2017912952
fatcat:lz7wwk6iondfpffhhadnzyvqii
Sentiment Analysis of Twitter Data: A Survey of Techniques
2016
International Journal of Computer Applications
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With the advancement of web technology and its growth, there is a huge volume of data present in the web for internet users and a lot of data is generated too. ...
In this paper, we provide a survey and a comparative analyses of existing techniques for opinion mining like machine learning and lexicon-based approaches, together with evaluation metrics. ...
APPROACHES FOR SENTIMENT ANALYSIS There are mainly two techniques for sentiment analysis for the twitter data:
Machine Learning Approaches Machine learning based approach uses classification technique ...
doi:10.5120/ijca2016908625
fatcat:6nxrdldcmjbzlgidaakuurq6pa
Sentiment Analysis Approaches and Applications: A Survey
2018
International Journal of Computer Applications
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Among various applications of Natural Language processing (NLP) and Machine Learning (ML) Sentiment Analysis (SA) is very popular. ...
Furthermore the classical text classification models are utilized for comparative execution study. ...
Machine learning approach is used to perform the task of sentimental analysis on famous Machine learning approach on the text data. ...
doi:10.5120/ijca2018916630
fatcat:lwap7uwshffx5inaw7yorlyh6i
A Survey of Various Technique used in Aspect Level Sentiment Analysis
2021
Zenodo
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The primary goal is to examine various techniques utilized in aspect level sentiment analysis from given text data, such as lexicon, machine learning, and deep learning techniques, in order to uncover ...
aspect based sentiment analysis of provided text data. ...
LITERATURE SURVEY Pang et al. [5] employed machine learning approaches for sentimental analysis. ...
doi:10.5281/zenodo.5342517
fatcat:2diqfg2cdjctvjoytnw7j54u3q
Opinion Mining and Sentiment Analysis: A Survey
2003
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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In the past few years, a great attention has been received by web documents as a new source of individual opinions and experience. ...
At the same time, Machine Learning methods in Natural Language Processing (NLP) and Information Retrieval were considerably increased development of practical methods, making these widely available corpora ...
For this, they use a combination of rule-based classification, supervised learning, and machine learning. ...
doi:10.24297/ijct.v2i3c.2717
fatcat:qocx4rvypvd7xdaf4osdf3bfzi
A Survey on Adversarial Attacks for Malware Analysis
[article]
2022
arXiv
pre-print
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2021 pre-print arXiv:2111.08223v1 fatcat:ph35sug3qnhn3nv57yd3bly5mi
Increasing dependency on data has paved the blueprint for ever-high incentives to camouflage machine learning models. ...
High flying machine learning arena has been recently pegged back by the introduction of adversarial attacks. Adversaries are able to modify data, maximizing the classification error of the models. ...
Manual extraction of valuable information from raw data is a very tedious task given the volume of data. This is where Machine Learning jumps in. ...
arXiv:2111.08223v2
fatcat:fiw3pgunsvb2vo7uv72mp6b65a
The Dark Side(-Channel) of Mobile Devices: A Survey on Network Traffic Analysis
[article]
2018
arXiv
pre-print
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We also discuss possible countermeasures, challenges and possible directions for future research on mobile traffic analysis and other emerging domains (e.g., Internet of Things). ...
As a result, those devices generate a significant network traffic (a consistent part of the overall Internet traffic). ...
[62] ACKNOWLEDGMENT Mauro Conti is supported by a Marie Curie Fellowship funded by the European Commission (agreement PCIG11-GA-2012-321980). This work is partially supported by the EU Tag ...
arXiv:1708.03766v3
fatcat:ss6hqa7zsjcavkkwexftpowtku
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis in Crowdsensing
[article]
2020
arXiv
pre-print
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Then, we investigate and compare the diverse LDP mechanisms for various data statistics and analysis tasks from the perspectives of frequency estimation, mean estimation, and machine learning. ...
However, extensive statistics and analysis of such data will seriously threaten the privacy of participating users. ...
Therefore, a comprehensive survey of LDP is very necessary and urgent for future research in Internet of Things. ...
arXiv:2010.05253v2
fatcat:uuts5enifreixjt4lf6yjrepl4
Sentiment Analysis : A Literature Survey
[article]
2013
arXiv
pre-print
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As a result there has been an eruption of interest in people to mine these vast resources of data for opinions. ...
In this report, we take a look at the various challenges and applications of Sentiment Analysis. ...
The Web is a huge repository of structured and unstructured data. The analysis of this data to extract latent public opinion and sentiment is a challenging task. ...
arXiv:1304.4520v1
fatcat:qvupasbk4veanlxpnpdzrbjh5y
A SURVEY ON SENTIMENT ANALYSIS AND OPINION MINING
2013
International Journal of Research in Engineering and Technology
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Sentiment analysis is a machine learning approach in which machines analyze and classify the human's sentiments, emotions, opinions etc about some topic which are expressed in the form of either text or ...
Manual analysis of such large number of reviews is practically impossible. Therefore automated approach of a machine has significant role in solving this hard problem. ...
CONCLUSION Sentiment Analysis problem is a machine learning problem that has been a research interest for recent years. ...
doi:10.15623/ijret.2013.0211048
fatcat:q6wwwesunzf4lc7nnautudpi34
A survey and analysis of big data management based on computational methodologies
2020
ACCENTS Transactions on Image Processing and Computer Vision
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Machine learning, artificial intelligence and data mining techniques have been discussed for the same environment based on the related study. ...
n a business enterprise there is an enormous amount of data generated or processed daily through different data points. It is increasing day by day. ...
Conflicts of interest The authors have no conflicts of interest to declare. ...
doi:10.19101/tipcv.2020.618052
fatcat:fe3dydm6x5huvbfi2yq7pnj2pq
Survey on IoT based Machine tools condition analysis With Machine Learning
2020
International Journal of Scientific Research in Computer Science Engineering and Information Technology
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In this paper different techniques are studied about machine tools condition analysis and classification. This examination surveys different techniques which are used to classify machine sound data. ...
Machine condition checking innovation has around for a long time, designed for advancing machine execution and limiting unplanned personal time. ...
It is a standard approach implemented in many industry sectors, Internet of Things, or IIoT, uses the Internet of Things platform to improve industrial operations and sectors. ...
doi:10.32628/cseit2063134
fatcat:ske3s7v2c5a3pgesef37zgxxhq
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