[PDF] Top 20 Sentiment Analysis on High Dimensional Data using Hadoop
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Sentiment Analysis on High Dimensional Data using Hadoop
... acquiring data from twitter, pre-process data to remove noise from it, processing of that data then polaritydetection and finally producing graphs to show the result ...visually.Sentiment ... See full document
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Efficient Recommendation System based on Keyword for Smart-City with Sentiment Analysis using Hadoop
... efficiently using Hadoop by computing the reviews based on removing stop-words, stemming algorithm and sentiment analysis ...and sentiment analysis technique which is forwarded ... See full document
7
A Survey on Twitter Sentiment Analysis Using Hadoop
... Apache Hadoop framework is gaining significant momentum from both industry and academia as the volume of data to analyze growth ...of hadoop distributed file system but also map reduce programming ... See full document
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Title: CONTEXT BASED SENTIMENT ANALYSIS OF TWITTER USING HADOOP FRAMEWORK
... sentimental analysis using Hadoop which will process the huge amount on a Hadoop cluster faster in real time, this project uses the naive-bayes approach and an Hadoop cluster for ... See full document
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Sentiment Analysis of Web Scraped Product Reviews using Hadoop
... of data, individuals are proposed to develop a framework that can distinguish and classify data based on ...opinions. Sentiment analysis (opinion mining) can be considered as the one of the ... See full document
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Twitter Sentiment Analysis Using Hadoop
... is hadoop integrated. The advance in hadoop has seen ever increasing development in hadoop we have used the hadoop mapreduce framework to implement sentiment analysis from the ... See full document
7
Sentiment Analysis using Maximum Entropy Algorithm in Big Data
... Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming ...server. Hadoop has various ... See full document
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Behavioral Analysis of Candidates using Sentiment Analysis and Emotion Mining for Recruitment
... with Hadoop framework, that allows minimal delay while writing data to the system by using the concept of ...moving data blocks from underFS storage layer to Memory ... See full document
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SOCIAL MEDIA DATA ANALYSIS USING HADOOP
... by data obtained from web. As we see WWW is a rich collection of data that is mainly in the form of unstructured data from which we can do analysis on those data which is collected on ... See full document
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Big Data Analysis using Hadoop Technologies
... Big data is a term that describes the large volume of ...contains data in the form of both structured and un-structured ...These data sets are very large and complex so that it becomes difficult to ... See full document
5
Analysis Challenges for High Dimensional Data
... of high dimensional data. To handle these high dimensional sparse problems, we have witnessed a technological explosion in the development of new regression methodologies during the ... See full document
153
Dimensional Sentiment Analysis Using a Regional CNN LSTM Model
... The dimensional approach represents emo- tional states as continuous numerical values in multiple dimensions such as the valence-arousal (VA) space (Russell, ...tive sentiment, whereas the dimension of ... See full document
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A methodology to enhance the accuracy of aspect level sentiment analysis using imputation of missing sentiment
... Statistical sequence leveling technique, discussed by Chatterji et al (2015) was used to identify the aspects mobile domain as given by the reviewers. This technique trained 950 manually annotated sentences. The ... See full document
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BIG DATA ANALYSIS IN DATA MINING APPLICATIONS USING HADOOP
... of data and the size of the databases used in today’s enterprises has been growing at exponential ...rates. Data is generated through many sources like business processes, transactions, social networking ... See full document
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Clustering of High-Dimensional Data Using Hubness
... the data points are ...supervisedclustering data points are not known but total supervision is required for clustering of datapoints ...of high dimensional data is difficult ... See full document
7
Sentiment analysis using product review data
... and sentiment scores are information extracted from the original ...for sentiment categoriza- ...training data needs to be transformed to a vector that contains those features, namely a feature ...to ... See full document
14
Data analysis using MapReduce in Hadoop environment
... Apache Hadoop is an open source framework that is based on Java ...[3]. Hadoop can handle thousand terabytes of data and allow applications to run on systems with thousands of commodities hardware ... See full document
11
Data Analysis Using R and Hadoop
... with Hadoop may be viewed as a superimposed design ...knowledge analysis. At this level we will have a tool like Pig that could be a high-level platform for making MapReduce programs employing a ... See full document
5
A NOVEL EARLY WARNING SYSTEM USING FUZZY MULTIPLE ATTRIBUTE DECISION MAKING ALGORITHM AND METEOROLOGICAL DATA
... the sentiment classification, we dot not use any data ...many sentiment lexicons of our basis English sentiment dictionary ...multi- dimensional vectors based on the sentiment ... See full document
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An Improved Technique for Data Retrieval in Distributed Systems
... Content based information retrieval retrieves the data on some sort of information like meta data database, image. The model has the capability to narrow down the user’s preferences and need and in real ... See full document
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