Mining Intelligence and Knowledge Exploration

Name: Mining Intelligence and Knowledge Exploration | Third International Conference, MIKE 2015, Hyderabad, India, December 9-11, 2015, Proceedings
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Third International Conference, MIKE 2015, Hyderabad, India, December 9-11, 2015, Proceedings

Rajendra Prasath Anil Kumar Vuppala T. Kathirvalavakumar(Editor)

Springer (Publisher)

Published on 2. January 2016

XVIII, 713 pages

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978-3-319-26832-3 (ISBN)

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Intro
Preface
MIKE 2015: International Institute of Information Technology, Hyderabad, India
Contents
Spreading Activation Way of Knowledge Integration
1 Introduction
2 Background
2.1 Case Retrieval Network
2.2 Spreading Activation
2.3 Linear Model
3 Our Framework
3.1 Proposed Model
3.2 Classification Task
4 Empirical Evaluation
5 Discussion and Related Work
6 Conclusion
References
Class Specific Feature Selection Using Simulated Annealing
1 Introduction
2 Methodology
2.1 Feature Subset Selection for Each Class
2.2 Classification of a Test Pattern
3 Implementation
4 Results
5 Conclusion
References
A Redundancy Study for Feature Selection in Biological Data
1 Introduction
2 New Method for Instance Feature Selection
2.1 Step I: Feature Ranking
2.2 Step II: Feature Filtering
3 Experimental Investigations
4 Conclusion
References
New Feature Detection Mechanism for Extended Kalman Filter Based Monocular SLAM with 1-Point RANSAC
1 Introduction
1.1 Objective
1.2 Related Work
2 Method
3 Results
4 Conclusion
References
Sequential Instance Based Feature Subset Selection for High Dimensional Data
1 Introduction
2 Feature Selection Methods
3 Hybrid Instance Based Sequential Backward Search Method (HIB-SBS)
3.1 Step1: Candidate Feature Subsets Selection
3.2 Step 2: Sequential Backward Search
4 Experimental Study
4.1 Datasets
4.2 Evaluation Metrics
5 Results
6 Conclusion
References
Facial Expression Recognition Using Entire Gabor Filter Matching Score Level Fusion Approach Based on Subspace Methods
Abstract
1 Introduction
2 Brief Overview of Entire Gabor Filter
2.1 Gabor Magnitude Face Recognition
2.2 Gabor Phase Congruency Face Representation
3 Proposed Approach
4 Results and Analysis
4.1 Preprocessing
4.2 Testing and Analysis of Results
5 Conclusions
References
Cluster Dependent Classifiers for Online Signature Verification
Abstract
1 Introduction
2 Proposed Model
2.1 Template Creation
2.2 Clustering of Writers
2.3 Cluster Dependent Classifier Selection
2.4 Signature Verification
3 Experimental Setup
4 Experimental Results
5 Comparative Study
6 Conclusion
References
Classification Using Rough Random Forest
1 Introduction
2 Background Theory
2.1 Rough Set Theory
2.2 Decision Tree
2.3 Random Forest
3 Related Work
4 Methodology
5 Implementation and Results
6 Conclusion
References
Extending and Tuning Heuristics for a Partial Order Causal Link Planner
1 Introduction
2 Background
3 Penalty Enhanced ANNs
4 Training the PE-ANN
4.1 Weight Update Rules
5 Multiple Heuristics
5.1 hmax() : Max Heuristic
5.2 hadd() : Additive Heuristic
5.3 haddr() : Positive Interaction Heuristic
5.4 hrelax(): Relax Heuristic
5.5 hset-level() : Set-level Heuristic
5.6 hpartition-2() : Partition-2 Heuristic
5.7 hadjust-sum() : Adjust-sum Heuristic
5.8 hadjust-sum2() : Adjust-sum2 Heuristic
5.9 hcombo() : Combo Heuristic
6 Empirical Evaluation
7 Summary and Future Work
References
Symbolic Representation of Text Documents Using Multiple Kernel FCM
1 Introduction
2 Proposed Method
2.1 Multiple Kernel FCM (MKFCM) Based Representation
2.2 Document Classification
3 Experimental Setup
3.1 Dataset
3.2 Experimentation
4 Conclusion
References
GIST Descriptors for Sign Language Recognition: An Approach Based on Symbolic Representation
Abstract
1 Introduction
2 Proposed Method
2.1 GIST Feature Extraction
2.2 Selection of Key Frames
2.3 Sign Representation
2.4 Matching and Recognition
3 Experimentation
4 Conclusion
References
A Graph Processing Based Approach for Automatic Detection of Semantic Inconsistency Between BPMN Process Model and SBVR Rules
1 Research Motivation and Aim
2 Related Work and Novel Research Contributions
3 Research Framework and Solution Approach
3.1 XML Based BPMN Graph
3.2 Typed Dependency Based Triplet Extraction
3.3 Subgraph Graph Algorithm: VF2 Algorithm
4 Performance Evaluation and Results
4.1 Consistent Scenario: Cab Booking Result
4.2 Inconsistent Scenario: Order Fulfillment
4.3 Experimental Results
5 Conclusion
References
An Improved Intrusion Detection System Based on a Two Stage Alarm Correlation to Identify Outliers and False Alerts
1 Introduction
2 Related Works
3 The Proposed Method
3.1 Outliers Detection
3.2 False Positives Reduction
4 Experimental Results
4.1 The First Stage
4.2 The Second Stage
4.3 Time Performance Evaluation
5 Conclusion
References
A Geometric Viewpoint of the Selection of the Regularization Parameter in Some Support Vector Machines
1 Introduction
2 The Polytope of the Feasible Region of SVMs
2.1 Characterization of the Vertices in Terms of Active Constraints
2.2 Neighbours of a Vertex of the Polytope, P
2.3 Vertices of the Polytope, P
3 The Regularization Path
4 An Illustrative Example
5 Discussion
References
Discovering Communities in Heterogeneous Social Networks Based on Non-negative Tensor Factorization and Cluster Ensemble Approach
Abstract
1 Introduction
2 Related Work
3 The Proposed Framework for Discovering Communities in Heterogeneous Social Networks (HSNs)
3.1 Model Formulation
3.2 Unveiling the Latent Features Through Tensor Factorization
3.3 Cluster Ensemble Approach for Discovering Communities
4 Experimental Evaluation
4.1 Dataset Description
4.2 Evaluation Metrics
4.3 Performance of the Proposed Community Discovery Framework
5 Conclusion and Future Work
References
On the Impact of Post-clustering Phase in Multi-way Spectral Partitioning
1 Introduction
2 Spectral Clustering Algorithm
3 Experimental Study
4 Discussion
5 Conclusion
References
BSO-CLARA: Bees Swarm Optimization for Clustering LARge Applications
1 Introduction
2 An Overview on Partitioning Methods
2.1 k-Means
2.2 PAM
2.3 CLARA (Clustering LARge Application)
2.4 CLARANS (Clustering Large Application RANdomized Search)
2.5 Recent Related Works
3 Bees Swarm Optimization (BSO)
4 BSO-CLARA Algorithm
4.1 Artificial World Where the Bees Lives
4.2 The Fitness Function
4.3 The Distance Between Two Neighbors
4.4 The Degree of the Diversity
4.5 Complexity
5 Experimental Results
5.1 Description of the Benchmarks
5.2 Experimentations and Results
6 Conclusion
References
ECHSA: An Energy-Efficient Cluster-Head Selection Algorithm in Wireless Sensor Networks
1 Introduction
2 Related Work
3 Proposed Energy Consumption Model
4 Energy-Efficient Cluster-Head Selection Algorithm (ECHSA)
4.1 Best Response Function to Find Nash Equilibrium
4.2 Cluster Formation
5 Results and Analysis
6 Conclusion
References
Optimal Core Point Detection Using Multi-scale Principal Component Analysis
1 Introduction
2 Segmentation
3 Orientation Field Estimation and Smoothening
4 Homogeneous Zones Division
5 Binary Candidate Region Image Construction
6 Core Point Identification
7 Results and Discussion
8 Conclusion
References
Recognition of Semigraph Representation of Alphabets Using Edge Based Hybrid Neural Network
1 Introduction
2 Semigraph Representation for Alphabets
3 Edge Based Hybrid Neural Network
4 Training Procedure for Hybrid Edge Based Neural Network
4.1 Algorithm
5 Results and Discussion
6 Results of Edge Based Hybrid Neural Network
7 Conclusion
References
Small Eigenvalue Based Skew Estimation of Handwritten Devanagari Words
Abstract
1 Introduction
2 Literature Survey
3 Proposed Method
3.1 Overview
3.2 Extracting Line Segments [1]
3.3 Identifying the Line Segment Corresponding to Shirorekha, Skew Estimation and Correction
4 Experimentation and Results
5 Conclusions
References
Recognizing Handwritten Arabic Numerals Using Partitioning Approach and KNN Algorithm
1 Introduction
2 Compression
3 Clustering with Leader
4 Classification
5 Proposed Procedure
5.1 Training Algorithm
6 Experimental Results and Discussion
7 Conclusion
References
Fuzzy Based Support System for Melanoma Diagnosis
1 Introduction
1.1 Related Work
1.2 Motivation
1.3 Contribution
1.4 Problem Definition
1.5 Organization of the Paper
2 Framework
2.1 Stage One
2.2 Stage Two
3 Experimentation
3.1 Dataset Description
3.2 Results and Discussions
4 Conclusion
References
KD-Tree Approach in Sketch Based Image Retrieval
Abstract
1 Introduction
2 Related Work
3 Proposed Model
3.1 Segmentation
3.2 Feature Descriptors
4 Sketch Indexing
5 Database
6 Experimentation
7 Conclusion
References
Benchmarking Gradient Magnitude Techniques for Image Segmentation Using CBIR
1 Introduction
2 Gradient Magnitude Based Segmentation Techniques
2.1 PbGM
2.2 PbGM2
2.3 PbCanny
2.4 Pb2MM
2.5 pb2MM2
3 Content Based Image Retrieval (CBIR)
3.1 Ridgelet PCA
3.2 Probabilistic Neural Network (PNN)
4 Experimental Results and Performance Analysis
4.1 Corel 1-K
4.2 Caltech-101 &Caltech-256
5 Conclusion
References
Automated Nuclear Pleomorphism Scoring in Breast Cancer Histopathology Images Using Deep Neural Networks
1 Introduction
2 Related Works
3 Dataset
4 Methodology
4.1 Nuclei Detection
4.2 Feature Extraction
4.3 DBN-DNN Construction and Training
5 Results
6 Conclusion
References
Hybrid Source Modeling Method Utilizing Optimal Residual Frames for HMM-based Speech Synthesis
1 Introduction
2 Proposed Hybrid Source Model
2.1 Generation of Pitch-Synchronous Residual Frames
2.2 Estimation of Three Optimal Residual Frames from Every Phone
2.3 Developing Decision Trees Using Optimal Residual Frames
2.4 Selection of Suitable Optimal Residual Frames During Synthesis
3 Speech Synthesis Using the Proposed Hybrid Source Model
4 Subjective Evaluation
5 Conclusion
References
Significance of Emotionally Significant Regions of Speech for Emotive to Neutral Conversion
1 Introduction
2 Database
3 Emotionally Significant Regions of Speech
3.1 Detecting Emotionally Significant Regions of an Utterance
3.2 Algorithm to Detect Emotionally Significant Regions of an Utterance
4 Analysis of Various Prosody Parameters to Generate the Neutral Version of an Emotive Utterance
5 Proposed Method for Converting Emotive Speech to Neutral Speech
6 Evaluation of the Proposed Method
7 Conclusion and Future Scope
References
Spoken Document Retrieval: Sub-sequence DTW Framework and Variants
1 Introduction
2 Overview
2.1 Database
2.2 Indexing Variants
2.3 Sub-sequence DTW
2.4 Performance Characterization
3 Sub-sequence DTW
4 Determining Multiple Sub-sequences in Y Matching X
5 Performance Measures
6 MFCC Baseline and Path Normalization
7 MFCC and VQ-indexed Performances
8 Phoneme-Indexed Performances
9 Discussion
10 Conclusions
References
Improved Language Identification in Presence of Speech Coding
1 Introduction
2 Baseline Method for Language Identification
2.1 GMM with a Universal Background Model
3 Language Identification for Coded Speech
3.1 Adaptive Multi-rate (ITU-T G.722.2)
3.2 Codebook Exited Linear Prediction (CELP FS-1016)
3.3 Mixed Exited Linear Prediction (MELP)
3.4 Global System for Mobile (GSM 06.10) Full Rate Coder
4 Proposed Approach for Language Identification in Speech Coding
4.1 Detection of High Sonority Regions in Speech
5 Evaluation of the Proposed Method
6 Conclusion and Future Scope
References
SHIM: A Novel Influence Maximization Algorithm for Targeted Marketing
1 Introduction
2 Problem Formulation and Related Work
2.1 Problem Formulation
2.2 Related Work
3 Proposed Approach
3.1 Edge Weight and Information-Propagation Probability Calculation
3.2 SHIM Algorithm
4 Experiment
4.1 Dataset Description
4.2 Experiment Results
5 Conclusion
References
An Optimal Path Planning for Multiple Mobile Robots Using AIS and GA: A Hybrid Approach
Abstract
1 Introduction
2 Related Work
3 Problem Formulation
4 AIS Based Path Planning
4.1 Path Planning Algorithm
4.2 Algorithm
5 GA Based Path Planning
5.1 Proposed Algorithms
5.2 Initialization
5.3 Fitness Function and Evaluation
6 Hybridization
6.1 Proposed Hybridization Algorithm
6.2 Generate an Initial Population
6.3 Followed by the Genetic Phase of the AIS-GA
6.4 Rastrigin's Test Function
7 Simulation Result and Discussion
8 Conclusion and Future Work
References
Metaheuristic Optimization Using Sentence Level Semantics for Extractive Document Summarization
1 Introduction
2 Related Works
3 Proposed Work
3.1 Document Pre-processing
3.2 Feature Based Sentence Scoring
3.3 Metaheuristic Optimization
4 Evaluation
4.1 Experimental Data
4.2 Evaluation Metrics
4.3 Results
5 Conclusion
References
Circulant Singular Value Decomposition Combined with a Conventional Neural Network to Improve the Hake Catches Prediction
1 Introduction
2 Components Extraction Based on Singular Value Decomposition of the Circulant Matrix
2.1 Time Series Mapping
2.2 Singular Value Decomposition
2.3 Components Extraction
3 Components Prediction with an Autoregressive Neural Newtork
3.1 Levenberg-Marquardt Learning Algorithm
4 Prediction Accuracy Metrics
5 Results and Discussion
5.1 Components Extraction
5.2 Prediction with the Autoregressive Neural Network Based on Levenberg-Marquardt
6 Conclusions
References
To Optimize Graph Based Power Iteration for Big Data Based on MapReduce Paradigm
Abstract
1 Introduction
2 Methodology
2.1 Power Method
2.2 Convergence Constraint
2.3 Proposed Inflated PIC
3 Algorithm Design for Inflated PIC in MapReduce
4 Experimental Results and Discussions
5 Conclusion
References
Complex Transforms
Abstract
1 Introduction
2 Real Hadamard Matrices: Real Hadamard Transform
3 Novel Complex Hadamard Matrices: Complex Hadamard Transform
4 Other Complex Transforms
5 Conclusion
References
A New Multivariate Time Series Transformation Technique Using Closed Interesting Subspaces
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Closed Interesting Subspace Mining
3.2 Proposed Algorithm for Transforming a Multivariate Time Series to a Symbol Sequence
4 Evaluation Metrics
5 Performance Evaluation
6 Conclusions
References
S2S: A Novel Approach for Source to Sink Node Communication in Wireless Sensor Networks
1 Introduction
2 Related Work
3 Energy Consumption Model
4 Proposed Approach
5 Results and Analysis
6 Conclusion
References
Establishing Equivalence of Expressions: An Automated Evaluator Designer's Perspective
1 Introduction
2 Related Work
3 Proposed Evaluation Scheme
3.1 Example of Equivalence Checking
3.2 Equivalence Checking with Monte Carlo Simulations with Some Known Properties
3.3 Equivalence Checking with Fewer Samples
3.4 Equivalence Checking with Approximate Valuations With fewer Samples
3.5 Exception Handling
4 Evaluation of Proposed Scheme
5 Conclusion
References
Data Driven Modelling for the Estimation of Probability of Loss of Control of Typical Fighter Aircraft
1 Introduction
2 Flight Control-Typical Fighter Aircraft
2.1 Control System Electronics
2.2 Electrical System
2.3 Hydraulics System
3 Probability of Loss Control [PLOC]
4 Modelling Failure Types
4.1 Common Cause Failures [CCF]
4.2 Cascading Failures [CAF]
4.3 Dependent Failures [DEF]
4.4 Mutually Exclusive Failures [MEF]
4.5 Mutually Independent Failures [MIF]
4.6 Hardware Software Interaction Failures [HSF]
4.7 Dormant Failures [DOF]
5 Failure Rate Data and Failure Modes
6 Estimation of PLOC Using FTA
6.1 Modelling Electronic Controller Failure
6.2 Modelling Air Data Sensor Failures
6.3 Modelling Primary Actuators Failures
6.4 Modelling Input Sensors Failure
6.5 Modelling Hydraulics Failure in FTA
6.6 Modelling Electrical Failure in FTA
7 Conclusion
References
Ranking Business Scorecard Factor Using Intuitionistic Fuzzy Analytical Hierarchy Process with Fuzzy Delphi Method in Automobile Sector
1 Introduction
1.1 Fuzzy Analytic Hierarchy Process (FAHP)
1.2 Intuitionistic Fuzzy Set (IFS)
1.3 Intuitionistic Relation
1.4 Fuzzy Delphi Method
2 Past Work
3 Methodology
4 Illustrative Work
4.1 Observation from the Experts
4.2 Business Scorecard in Level-1
5 Empirical Result
6 Conclusion
References
Text and Citations Based Cluster Analysis of Legal Judgments
1 Introduction
2 Related Work
3 Proposed Approach
3.1 Basic Idea
3.2 Clustering Judgments Using Citations
4 Experiments
4.1 Dataset and Preprocessing
4.2 Evaluation Metrics
4.3 Results of Text Based Clustering
4.4 Results of Clustering Using Citations
4.5 Results of Clustering Using Paragraph Links (PLs)
4.6 Results of Clustering by Combining Citations and PLs
4.7 Summary of the Results
5 Conclusion and Future Work
References
Vision-Based Human Action Recognition in Surveillance Videos Using Motion Projection Profile Features
1 Introduction
1.1 Outline of the Work
2 Related Work
3 Proposed Approach
3.1 Feature Extraction
4 Gaussian Mixture Models
5 Experimental Results
5.1 WEIZMANN Dataset
5.2 AUCSE Dataset
5.3 Performance Evaluation
5.4 Evaluation on WEIZMANN Dataset
5.5 Evaluation on AUCSE Dataset
6 Conclusion
References
A Web-Based Intelligent Spybot
1 Introduction
2 Developing an Intelligent Spybot
3 Intelligent Control Operation
4 Performance Evaluation
5 Possible Applications and Future Scope
6 Summary and Conclusion
References
Evidential Link Prediction Based on Group Information
1 Introduction
2 Link Prediction
2.1 Local Information Based Measures
2.2 Group Information Based Measures
3 Belief Function Framework
4 Evidential Link-Based Social Network
5 Evidential Link Prediction Based on Group Information
5.1 Distance Computation
5.2 Reliability Computation
5.3 Information Transfer and Fusion
5.4 Decision Making
6 Illustration
7 Experiments
7.1 Network Pre-processing
7.2 Results
8 Conclusion
References
Survey of Social Commerce Research
1 Introduction
2 Social Commerce
2.1 What is Social Commerce?
2.2 What Drives Social Commerce?
2.3 Advantages and Disadvantages of Social Commerce
3 Tools for Social Commerce
3.1 Sentiment Analysis
3.2 Social Networks Model
4 Suggestions for Future Research
5 Conclusion
References
Refine Social Relations and Differentiate the Same Friends' Influence in Recommender System
1 Introduction
2 Related Work
3 Influential Friends Refining and TFR-PMF Model
3.1 Problem Definition
3.2 Inferring Truly Influential Social Relations
3.3 Model Training
3.4 Final Predicted Ratings
4 Experiments
4.1 Datasets
4.2 Performance Measures
4.3 Evaluation
4.4 Discussion and Analysis
5 Conclusion and Future Work
References
User Similarity Adjustment for Improved Recommendations
1 Introduction
2 Existing User-Based Collaborative Filtering Framework
3 Related Work
4 Proposed Technique
4.1 User Similarity Computation
4.2 Computing Popularity Score of Items
4.3 User Similarity Modification
5 Experimental Results
5.1 Data Set Used
5.2 Evaluation Metrics Used
5.3 Improvement of Recommendation Accuracy and Utility
6 Conclusion
References
Enhancing Recommendation Quality of a Multi Criterion Recommender System Using Genetic Algorithm
Abstract
1 Introduction
2 Background
2.1 Recommender Systems
2.2 Multi-criterion Recommender System
3 Proposed Recommendation Framework
3.1 Proposed System
4 Experimental Setup and Result Analysis
4.1 Design of Experiments
4.2 Performance Evaluation
4.3 Experiments
5 Conclusions
References
Adapting PageRank to Position Events in Time
1 Introduction and Related Works
2 Overview
2.1 Approach
2.2 Evaluation
3 Experiments
4 Results
5 Conclusion and Discussion
References
After You, Who? Data Mining for Predicting Replacements
1 Introduction
2 Problem Formulation
3 Case-Study Dataset
4 Solution Approaches
4.1 Identification of Plausible Candidate Replacements
4.2 Distance-Based Unsupervised Approach
4.3 Classification
4.4 Metric Learning
5 Related Work
6 Conclusions and Further Work
References
Tri-Axial Vibration Analysis Using Data Mining for Multi Class Fault Diagnosis in Induction Motor
Abstract
1 Introduction
2 Tri-axial Frame Vibration Analysis
2.1 Experimental Setup and Data Acquisition
2.2 Feature Extraction Using CWT and HT
2.3 Tri-axial Frame Vibration Analysis Using Data Mining
2.4 Conclusions
Acknowledgments
References
An Efficient Text Compression Algorithm - Data Mining Perspective
1 Introduction
2 Related Work
3 Problem Definition
4 Proposed Frequent Pattern Based Huffman Encoding(FPH) Algorithm
5 Results and Discussions
6 Conclusion
References
Identifying Semantic Events in Unstructured Text
Abstract
1 Introduction
2 Semantic Role Analysis
3 Towards Semantically Interpreting Texts
3.1 User Input Acquiring Module
3.2 Web Page Retrieval Module
3.3 Snippet Extraction Module
3.4 Snippet Cleaning Module
3.5 Semantic Role Labeling Module
3.6 Module for the Creation of a Map of Concepts
4 Our Semantic Role Labeling Approach
4.1 Predicate Prediction Module
4.2 Argument Prediction Module
5 Evaluating PASRL
6 Conclusions
References
Predicting Treatment Relations with Semantic Patterns over Biomedical Knowledge Graphs
1 Introduction
2 Related Work
3 Semantic Patterns over Knowledge Graphs
3.1 The SemMedDB Knowledge Graph
3.2 Specific Paths to Semantic Graph Patterns
4 Prediction with Graph Pattern Features
4.1 Selection of Negative Examples
4.2 Experiments and Results
5 Concluding Remarks
References
A Supervised Framework for Classifying Dependency Relations from Bengali Shallow Parsed Sentences
Abstract
1 Introduction
2 Related Work
3 Resource Preparation
3.1 Corpus
3.2 Selection of Consecutive and Non-consecutive Occurrences
4 Feature Extraction
5 System Framework
6 Error Analysis
7 Conclusion and Future Work
References
Learning Clusters of Bilingual Suffixes Using Bilingual Translation Lexicon
1 Introduction
2 Background
3 Proposed Approach
3.1 Learning Bilingual Segments
3.2 Clusters of Bilingual Suffixes
4 Experiments
4.1 Data Set
4.2 Results and Discussion
5 Conclusion
References
Automatic Construction of Tamil UNL Dictionary
Abstract
1 Introduction
2 Universal Networking Language (UNL)
3 Related Work
4 Automatic Generation of Tamil - UNL Dictionary
4.1 Categories of Dictionary Entries
4.2 Dictionary Generation Process
5 Results and Evaluation
6 Conclusion
References
A New Approach to Syllabification of Words in Gujarati
1 Introduction
2 Data Collection
2.1 Using Conditional Random Fields to Bootstrap Data
3 Our Approach
3.1 Predicting Maximum Probable Syllabification
3.2 Predicting First and Last Syllable
4 Evaluation
4.1 Results and Error Analysis
5 Conclusion and Future Scopes
References
A Support Vector Machine Based System for Technical Question Classification
1 Introduction
2 Related Work
3 Technical Question Taxonomy
3.1 Question Taxonomy
3.2 Corpus Creation
4 Our Approach for Classification
4.1 Support Vector Machine
4.2 Feature Set
4.3 Term Identification and Question Normalization
4.4 Parse Structure Matching with Tree Kernel
4.5 Syntactic Structure with Level-Wise Matching Approach
5 Result and Discussion
6 Conclusion
References
Shared Task on Sentiment Analysis in Indian Languages (SAIL) Tweets - An Overview
Abstract
1 Introduction
2 Task Description and Data Preparation
2.1 Task Description
2.2 Dataset
3 Results and Discussion
3.1 Results
3.2 Discussion
4 Conclusion and Future Work
References
Sentiment Classification: An Approach for Indian Language Tweets Using Decision Tree
1 Introduction
2 Related Work
3 Our Approach
3.1 C4.5 Decision Tree Algorithm
4 System Description
4.1 Dataset and Tool Used
4.2 Proposed Methodology
5 Results
5.1 Constrained
5.2 Unconstrained
6 Discussion
7 Conclusion
References
Sentiment Classification for Hindi Tweets in a Constrained Environment Augmented Using Tweet Specifi ...
Abstract
1 Introduction
2 Related Works
3 Proposed Approach
3.1 Pre-processing Module
3.2 Feature Extraction
3.3 Sentiment Classification
4 Results and Analysis
5 Conclusion and Future Work
References
AMRITA_CEN-NLP@SAIL2015: Sentiment Analysis in Indian Language Using Regularized Least Square Approach with Randomized Feature Learning
1 Introduction
2 Related Work
3 Proposed Method
3.1 Preprocessing
3.2 Feature Generation
3.3 Regularized Least Square
4 Experiments and Results
5 Conclusion and Future Work
References
IIT-TUDA: System for Sentiment Analysis in Indian Languages Using Lexical Acquisition
1 Introduction
2 Related Work
3 Methodology
3.1 Preprocessing
3.2 Features
3.3 Lexical Acquisition
3.4 Distributional Thesaurus
3.5 Co-Occurrences
3.6 Construction of DT_COOC Lexicon
4 Datasets and Experimental Results
5 Conclusions and Future Work
References
A Sentiment Analysis System for Indian Language Tweets
Abstract
1 Introduction
2 Training Data
3 Methodology
3.1 Multinomial Naive Bayes Classifier
3.2 Feature Extraction
3.3 System Development
4 Evaluation and Results
4.1 Performance Comparison
5 Conclusion
References
AMRITA-CEN@SAIL2015: Sentiment Analysis in Indian Languages
1 Introduction
2 Methodology
2.1 Feature Extraction
2.2 Naive Bayes Algorithm
3 An Analysis of SAIL Dataset
4 Experiments and Results
5 Conclusion and Future Work
References
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Mining Intelligence and Knowledge Exploration

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