Intelligent systems, technologies and applications : proceedings of ISTA 2018
Bibliographische Detailangaben
- Titel
- Intelligent systems, technologies and applications proceedings of ISTA 2018
- verantwortlich
- ;
- Schriftenreihe
- Advances in intelligent systems and computing ; ; volume 910
- veröffentlicht
- Erscheinungsjahr
- 2020
- Teil von
- Advances in intelligent systems and computing ; ; 910.
- Medientyp
- E-Book
- Datenquelle
- British National Bibliography
- Tags
- Tag hinzufügen
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Inhaltsangabe:
- Intro; Organization; Chief Patron; Patrons; General Chairs; General Executive Chair; Steering Committee Chairs; Organizing Chair; Organizing Co-chairs; Technical Program Chairs; Organizing Secretaries; TPC Members/Additional Reviewers; Preface; Contents; About the Editors; Dynamic Mode-Based Feature with Random Mapping for Sentiment Analysis; 1 Introduction; 2 Background; 2.1 Dynamic Mode Decomposition (DMD); 2.2 Random Mapping Approach Using Random Kitchen Sink (RKS); 2.3 Regularized Least Square-Based Classification (RLSC); 3 Proposed Approach; 3.1 Step 1: Preprocessing
- 3.2 Step 2: Tweet Vector3.3 Step 3: DMD-Based Dynamic Mode Feature Extraction; 3.4 Step 4: Random Mapping with RKS; 3.5 Step 5: Regularized Least Square-Based Classification; 4 Dataset Description; 5 Results; 5.1 Result of Evaluation for SAIL 2015 Shared Task Dataset; 5.2 Result of Evaluation for Malayalam Dataset; 5.3 Discussion; 6 Conclusion; References; Efficient Pre-processing and Feature Selection for Clustering of Cancer Tweets; 1 Introduction; 2 Related Work; 3 Proposed Methodology; 3.1 Data Collection and Pre-processing; 3.2 Clustering; 3.3 Feature Selection; 3.4 Feature Extraction
- 3.5 Summary Evaluation4 Experiments and Results; 5 Conclusion; References; Intrinsic Evaluation for English-Tamil Bilingual Word Embeddings; 1 Introduction; 2 Evaluating Word Embeddings; 3 Experimental Design; 3.1 Semantic Similarity and Relatedness; 3.2 Lexical Gaps in English-Tamil Bilingual domain; 3.3 Morphological Gaps; 4 Dataset Description; 5 Scoring Scheme; 5.1 Evaluator Instructions; 5.2 Statistical Pruning of Human Evaluation Scores; 6 Result; 7 Conclusion; References; A Novel Approach of Augmenting Training Data for Legal Text Segmentation by Leveraging Domain Knowledge
- 1 Introduction2 Literature Review; 3 Proposed Approach; 3.1 Position Based Segmentation; 3.2 Keyword Based Segmentation; 4 Experimental Evaluation; 4.1 Experimental Setup; 4.2 Experimental Results; 5 Conclusion; References; Sarcasm Detection on Twitter: User Behavior Approach; 1 Introduction; 2 Literature Survey; 2.1 Sentiment-Related Features; 2.2 Punctuation-Related Features; 2.3 Syntactic and Semantic Features; 2.4 Pattern-Related Features; 3 Issues; 4 User Behavior Approach; 4.1 Part A: User Behavior Pattern; 4.2 Part B: Context Evaluation; 5 Conclusion; References
- Personalized Recommender Agent for E-Commerce Products Based on Data Mining Techniques1 Introduction; 2 Related Work; 3 Recommendation Approach and Model; 3.1 Phase I: Pre-processing Unit; 3.2 Phase II: Clustering and Neighborhood Formation; 3.3 Phase III: Finding Association Among Products; 4 Experiments and Results; 4.1 Steps for Recommender Evaluation; 4.2 Evaluation Measures; 4.3 Evaluation of Proposed and Conventional RSs; 5 Conclusion and Future Work; References; Pep-Personalized Educational Platform; 1 Introduction; 2 Methodology; 2.1 Modules; 2.2 Features; 2.3 Scheduling Algorithm