2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)最新文献_第4页

Sentiment Analysis Based on Multiple Reviews by using Machine learning approaches 基于机器学习方法的多评论情感分析

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819813

S. D’souza, Kavita Sonawane

{"title":"Sentiment Analysis Based on Multiple Reviews by using Machine learning approaches","authors":"S. D’souza, Kavita Sonawane","doi":"10.1109/ICCMC.2019.8819813","DOIUrl":"https://doi.org/10.1109/ICCMC.2019.8819813","url":null,"abstract":"Sentiment is an attitude, thought, or judgment prompted by feeling. Sentiment Analysis can be defined as the process of analyzing online pieces of writing to determine the emotional tone they carry. With the vast growth of the social media content on the Internet in the past few years, people now express their opinion on almost anything in discussion. With respect to this, Bag–of–Words (BoW) is the most popular way to model text in statistical machine learning (ML) approaches. However, the performance of BoW sometimes remains unlimited due to some fundamental deficiencies in handling the polarity shift problem and other few challenges like quality of the opinions, hidden state representations, polarity categorization etc. To come across these challenges our focus will be on Dual Sentiment Analysis which processes the Sentiment with all the perspectives (positive, negative or neutral). This may lead towards the accurate prediction for final decision making based on the reviews given by the customers. The proposed work is being experimented on the Amazon Product reviews specifically the Mobile device reviews. This work aims at overcoming the limitation of existing system and improving the accuracy.","PeriodicalId":232624,"journal":{"name":"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128592502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

A Comparative Study on different Keyword Extraction Algorithms 不同关键字提取算法的比较研究

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819630

M. Thushara, Tadi Mownika, Ritika Mangamuru

引用次数: 23

Automated Criminal Identification by Face Recognition using Open Computer Vision Classifiers 基于开放计算机视觉分类器的人脸识别罪犯自动识别

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819850

P. Apoorva, H. C. Impana, S. Siri, M. Varshitha., B. Ramesh

{"title":"Automated Criminal Identification by Face Recognition using Open Computer Vision Classifiers","authors":"P. Apoorva, H. C. Impana, S. Siri, M. Varshitha., B. Ramesh","doi":"10.1109/ICCMC.2019.8819850","DOIUrl":"https://doi.org/10.1109/ICCMC.2019.8819850","url":null,"abstract":"This paper presents a real time face recognition using a automated surveillance camera. The proposed system consists of 4 steps, including (1)training of real time images (2)face detection using Haar-classifier (3) comparison of trained real time images with images from the surveillance camera (4)result based on the comparison. An important application of interest is automated surveillance, where the objective is to recognize people who are on a watch list. The aspiration of this paper is to compare an image with several images which has been already trained. In this paper, we represent a methodology for face detection robustly in real time environment. Haar cascading is one of the algorithm for face detection. Here we use Haar like classifiers to track faces on OpenCV platform. The accuracy of the face recognition is very high. The proposed system can successfully recognize more than one face which is useful for quickly searching suspected persons as the computation time is very low. In India, we have a system for recognizing citizen called Aadhaar. If we use this as a citizenship database we can differentiate between citizen and foreigner and further investigate whether the identified person is criminal or not.","PeriodicalId":232624,"journal":{"name":"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116198898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 32

Design patterns for Machine Learning Applications 机器学习应用的设计模式

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819692

Ruchi Sharma, K. Davuluri

引用次数: 2

Attention based English-Bodo Neural Machine Translation System for Tourism Domain 基于注意力的旅游领域英博神经机器翻译系统

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819699

Sanjib Narzary, Maharaj Brahma, Bobita Singha, Rangjali Brahma, Bonali Dibragede, Sunita Barman, Sukumar Nandi, Bidisha Som

{"title":"Attention based English-Bodo Neural Machine Translation System for Tourism Domain","authors":"Sanjib Narzary, Maharaj Brahma, Bobita Singha, Rangjali Brahma, Bonali Dibragede, Sunita Barman, Sukumar Nandi, Bidisha Som","doi":"10.1109/ICCMC.2019.8819699","DOIUrl":"https://doi.org/10.1109/ICCMC.2019.8819699","url":null,"abstract":"Bodo language is a relatively low resource language. Other than the text-book, novels and some print publication of newspaper, there appears to be very few resources available in the public domain. As the technology becomes affordable there is a growing number of active Bodo internet users. It requires a technology that can bring information in their own language. Machine translation appears to be a promising solution for that purpose. In this work we build an English-Bodo Neural Machine Translation by adopting a two layered bidirectional Long Short Term Memory (LSTM) cells that can capture the long term dependencies. As very few work has been done on English-Bodo NMT, we make our baseline model which produced a BLEU Score of 11.8 . We then gradually overcome the baseline model by introducing several attention mechanism. We achieved a BLEU Score of 16.71 using the approach presented in Bahdanu. Furthermore we got a better BLEU score of 17.9 when we introduced beam search with a beam width of 5. We found that the model performs very well despite the few dataset available.","PeriodicalId":232624,"journal":{"name":"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121845202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Face Recognition Method in the IoT for Security Appliances in Smart Homes, offices and Cities 一种用于智能家居、办公室和城市安全设备的物联网人脸识别方法

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819790

Abhishek Kumar, Palvadi Srinivas Kumar, Rashmi Agarwal

引用次数: 14

Development Of Autonomous Downscaled Model Car Using Neural Networks And Machine Learning 基于神经网络和机器学习的自动缩小模型汽车开发

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819720

Uvais Karni, S. S. Ramachandran, Kalpathy Sivaraman, A. K. Veeraraghavan

引用次数: 6

GDI Logic Based Design of Hamming-Code Encoder and Decoder for Error Free Data Communication 基于GDI逻辑的无差错数据通信汉明码编解码器设计

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819665

D. Sucharitha, N. Prudhvi Raj, R. Sravya, Sudheer Raja Venishetty

引用次数: 3

Analysis of Metacrawler approach for URL based DUST removal by knowledge engineering systems 知识工程系统中基于URL的元爬虫除尘方法分析

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819753

Priti Chittekar, Smita Deshmukh

引用次数: 1

A Proposed Methodology for the Fusion of Microwave and Optical Remote Sensing Data 一种微波与光学遥感数据融合方法

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819731

Kalyani S. Ulabhaje, Meenakshi S. Arya

{"title":"A Proposed Methodology for the Fusion of Microwave and Optical Remote Sensing Data","authors":"Kalyani S. Ulabhaje, Meenakshi S. Arya","doi":"10.1109/ICCMC.2019.8819731","DOIUrl":"https://doi.org/10.1109/ICCMC.2019.8819731","url":null,"abstract":"The merging of images obtained by satellites through remote sensing has evolved into an established protocol. In popular parlance such blending is known as image fusion. This is done chiefly because it gives myriad advantages. Image fusion comes in extremely useful in the observation, study and analysis of diverse fields, including environment, agriculture and other related areas. In essence, what happens in image fusion is that the needed data or information is gleaned from numerous images. These images then are coalesced to form fewer pictures. The ideal, of course, is the blending of them into a lone picture. This is highly sought-after because the image thus intermingled is said to contain all relevant data and, moreover, is more suitable and error-free than an image secured from one single source. Needless to say, it also incorporates all the information that is needed. Besides this, there are other benefits. For one, it curtails the volume of data. For another, it produces images that are pertinent and apt. This paper’s chief objective is to proffer a suggested methodology on the fusion between the capabilities of optical and microwave satellite images and to improve the visible quality of Landsat image.","PeriodicalId":232624,"journal":{"name":"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133960517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0