[PDF] Top 20 Product Sentiment Assessment using Large Scale Cloud System
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Product Sentiment Assessment using Large Scale Cloud System
... Here in this work a subset of the amazon book sentiment dataset (with 45000 Positive, about 40000 negative and about 35000 neutral) have been used. A TF based feature extraction has also been employed for the ... See full document
5
A Deep Learning Approach: Domain Adaptation for Large-Scale Sentiment Analysis
... robust sentiment classifier through large variety of data sources makes it difficult and ...different system for each domain and this would imply a huge cost to annotate training data for a ... See full document
7
Large Scale Online Readability Assessment
... • Rule/role stage (8-12 years-old); In this stage the interest from children gen- erally shift from fantasy towards reality. They start to play in groups/pairs and are more interested in competition. Products targeting ... See full document
112
Numerical modelling and in-process expert system for the assessment of large scale seals
... The increasing speed of mechanical systems, warranted by the desire for increased productivity, leads to higher operating temperatures that reduce working fluid viscosity. This factor can cause fluid leakage to prevail. ... See full document
241
Large-scale news entity sentiment analysis
... entity sentiment annotation mod- ule was developed using linguistically shallow methods so that it could be applied to dozens of lan- ...baseline system trained for movie reviews (the Stanford ... See full document
9
Building Large Scale Cloud System for Product Sentiment Analysis using Hybrid Group Search Optimization Based Feature Selection
... of sentiment analysis for overcoming the ...for large dataset volumes are helpful in the system of effective ...cleaned sentiment data, all effective features that had been selected ... See full document
7
Estimating the Effectiveness of Special Education Using Large-Scale Assessment Data.
... Beginning in the early 1970s, a variety of legislative mandates changed the way in which students with disabilities were educated. First, two important federal court cases ruled against school districts for continuing to ... See full document
168
Investigation of Variability of Wind/Solar Resources Properties
... time scale and quality of data can improve the assessment accuracy, but in practical application, there are some limitations, and much more observational data is needed to improve evaluation ... See full document
6
A System for Multilingual Sentiment Learning On Large Data Sets
... very large data sets been used in empirical studies of sentiment ...two sentiment classification algorithms applied to nine languages (including Germanic, Romance, and East Asian ...classifier, ... See full document
16
Secure and privacy of large data using map reduction for anonymize large-scale data sets in cloud
... A large number of cloud services require users to share private data like electronic health records for data analysis or mining, bringing privacy ...the scale of data in many cloud ... See full document
5
Cloud Computing and Large Scale Computing in the Life Sciences: Opportunities for Large Scale Sequence Processing
... • Characteristics of applications suitable for clouds • Iterative MapReduce and related programming models: Simplifying the implementation of many data parallel applications • FutureGrid[r] ... See full document
35
Implementation of Product Recommendation System on the Basis of Micro-Blogging Information
... sold-start product recommendation using micro-blogging information: Wayne Xin Zhao and Ji-Rong Wen, They linked users across social networking sites and e-commerce websites for product recommendation ... See full document
8
Sentiment analysis using product review data
... each sentiment token’s appearance inside a sentence or a review,to overcome the challenge, two binary strings are used to represent each token’s ...computed using Python’s built-in hash function and is ... See full document
14
Causal inferences with large scale assessment data: using a validity framework
... In spite of a desire on the part of policymakers and researchers to use scientifically- based evidence in policy, research, and practice, there are necessarily limitations to gleaning causal inferences from observational ... See full document
18
Optimizing cloud resources allocation for an Internet of Things architecture
... the cloud computing adoption have led to an increased usage of this two paradigms to create solid architectures that are able to handle hundred of thousands of concurrent connections, at the same time offering a ... See full document
11
Dynamic multidimensional index for large-scale cloud data
... phase (Lines 1-3) is similar to the query process previ- ously discussed. By calculating the hash value of the in- put keyword, we can find the quadrant that contains this coordinate. Simultaneously, the central node of ... See full document
11
Efficient Data Mining in SAMS through Association Rule
... burger. Such information can be used as the basis for decisions about marketing activities such as, e.g., promotional pricing or product placements. In addition to the above example from market basket analysis ... See full document
5
Expanding Chinese Sentiment Dictionaries from Large Scale Unlabeled Corpus
... sentences) sentiment con- sistency to extract domain specific polar ...same sentiment polarity (positive or negative) is usually expressed in a few consecutive ... See full document
10
A Light Lexicon based Mobile Application for Sentiment Mining of Arabic Tweets
... We presented in this paper a light lexicon-based mobile application for sentiment mining of Ara- bic Tweets. A 3-tier architecture was designed to classify tweets as positive, negative or objective. The mobile ... See full document
8
The establishment of the assessment system of large scale medical equipment allocation
... the large-scale medical equipment allocation in the medical institutions the chief problem is that the quantity of equipments is inconsistent with the actual ...in large hospital, making queuing ... See full document
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