[PDF] Top 20 Sentiment Analysis Based Mining and Summarizing Using SVM-MapReduce

Sentiment Analysis Based Mining and Summarizing Using SVM-MapReduce

... In this module, LSA is used to find compact description of the data.LSA used filtering approach to further select the content of the summary based on users favor. LSA is a fully automatic mathematical / ... See full document

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Classification of AI Powered Social Bots on Twitter by Sentiment Analysis and Data Mining through SVM

... are using bot to spread their contents [9]. They are using bots to generate contents more frequently and analyze people’s behavior to spread right content for right ...were based on the number of ... See full document

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Study on Parallel SVM Based on MapReduce

... MPI, MapReduce, and mash-up or workflow technologies yielding different performance and usability characteristics ...practical. MapReduce is a cloud technology developed from the data analysis model ... See full document

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A knn based technique on opinion mining using semantic analysis

... reviews, summarizing review and other real time ...that sentiment classifiers are severely dependent on domains or ...the sentiment classification ...for sentiment analysis of data in ... See full document

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Title: SENTIMENT ANALYSIS USING SVM AND NAÏVE BAYES ALGORITHM

... In Sentiment analysis, however, "the picture was great" is very different from "the picture was not ...thought based on a short piece of text because it lacks ...object. Sentiment ... See full document

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Fuzzy Aspects in Sentiment Analysis and Opinion Mining

...  Sentiment classification in many recent works employs supervised machine learning techniques like SVM and Naïve Bayesian ...in sentiment classification are far from ...in sentiment ... See full document

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Sentiment Analysis of Tweets using Rapid Miner Tool

... used sentiment analysis and opinion mining on big data and discussed different areas of ...residents using data of economic development and social ...model based on the moods and stock ... See full document

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Feature Selection for Sentiment Analysis by using SVM

... documents based on a ...by using machine learning ...characteristics. Sentiment Analysis is still a difficult and Complex problem in computer ...Sentiments. Sentiment analysis ... See full document

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Sentiment Analysis Using Text Mining: A Review

... and SVM (support vector machine) based on precision, recall, F-measure, and ...reviews using supervised machine learning algorithms which was further applied on IMDB dataset using n-gram ... See full document

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Sentiment Analysis of Tweets using SVM

... Bayes, SVM, Maximum Entropy and Ensemble ...multiclass SVM model which works with topic adaptive sentiment ...labeling based on the positive and negative hashtags, and finally proposed a ... See full document

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Opinion Mining of Restaurant Review by Sentiment Analysis Using SVM

... of sentiment mining also called opinion mining ...data mining, machine learning and test the method of sentiment analysis ...called sentiment analysis and opinion ... See full document

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INTELLIGENT SELF TUNING PID CONTROLLER USING HYBRID IMPROVED PARTICLE SWARM OPTIMIZATION FOR ULTRASONIC MOTOR

... of sentiment analysis methods to classify web for opinions in multiple languages was proposed by Abbasi et al ...for sentiment classification of English and Arabic ...results using EWGA with ... See full document

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Sentiment Analysis Using Robust Hierarchical Clustering Algorithm for Opinion Mining On Movie Reviews Based Applications

... opinion mining for sentiment analysis has gained momentum that concentrates on identification and interpretation of emotions, public opinions regarding a desired subject or object based on ... See full document

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SEGMENTATION OF BLOOD VESSELS USING IMPROVED LINE DETECTION AND ENTROPY BASED THRESHOLDING

... by using adjectives, adverbs and verbs as combinations following holistic lexicon ...experts. Based on these fuzzy sets, Fuzzy rules were designed to address each case and accordingly find the orientation ... See full document

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Sentiment Analysis for Social Media using SVM Classifier of Machine Learning

... Li and Liu et al. [19] in this paper author have made further improvement in his existing work by processing and modification in the various mechanism of sentiments for extracting the information from the huge dataset. ... See full document

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Sentiment Analysis and Sentiment Classification using NLP

... object. Sentiment analysis concentrates on attitudes, whereas traditional text mining focuses on the analysis of ...in Sentiment analysis: sentiment classification, ... See full document

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Fuzzy based Sentiment Analysis of Online Product Reviews using Machine Learning Techniques

... by using parts-of-speech (POS) tagging [23, 26], it is language- dependent semantic process, and it tags each word by considering its position in the grammatical ...identification based on Apriori algorithm ... See full document

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Mining on Public Sentiment Based on Net Loan Comments

... Currently, the news media has played an increasingly important role in the information society we are. A significant amount of information comes from socialization annotations and texts. Traditional modeling tools can no ... See full document

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Text Mining Approach for Big Data Analysis Using Clustering and Classification Methodologies

... data analysis by integrating clustering and classification with map reduce paradigm of Hadoop ...in Mapreduce form to parallelize the computation in cluster of ...C.Using Mapreduce paradigm on Hadoop ... See full document

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IJCSMC, Vol. 8, Issue. 8, August 2019, pg.17 – 21 A Review on Sentimental Analysis on Facebook Comments by using Data Mining Technique

... “A Sentiment Analysis based Approach to Facebook User Recommendation” discussed about system to offer new friends who have similar interests but having different ...technique based on a novel ... See full document

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