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Computational Linguistics and Intelligent Text Processing

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Cover of 'Computational Linguistics and Intelligent Text Processing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Thinking Outside the Box for Natural Language Processing
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    Chapter 2 A Graph-Based Method to Improve WordNet Domains
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    Chapter 3 Corpus-Driven Hyponym Acquisition for Turkish Language
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    Chapter 4 Automatic Taxonomy Extraction in Different Languages Using Wikipedia and Minimal Language-Specific Information
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    Chapter 5 Ontology-Driven Construction of Domain Corpus with Frame Semantics Annotations
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    Chapter 6 Building a Hierarchical Annotated Corpus of Urdu: The URDU.KON-TB Treebank
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    Chapter 7 A Morphological Analyzer Using Hash Tables in Main Memory (MAHT) and a Lexical Knowledge Base
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    Chapter 8 Optimal Stem Identification in Presence of Suffix List
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    Chapter 9 On the Adequacy of Three POS Taggers and a Dependency Parser
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    Chapter 10 Will the Identification of Reduplicated Multiword Expression (RMWE) Improve the Performance of SVM Based Manipuri POS Tagging?
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    Chapter 11 On Formalization of Word Order Properties
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    Chapter 12 Core-Periphery Organization of Graphemes in Written Sequences: Decreasing Positional Rigidity with Increasing Core Order
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    Chapter 13 Discovering Linguistic Patterns Using Sequence Mining
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    Chapter 14 What about Sequential Data Mining Techniques to Identify Linguistic Patterns for Stylistics?
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    Chapter 15 Resolving Syntactic Ambiguities in Natural Language Specification of Constraints
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    Chapter 16 A Computational Grammar of Sinhala
  18. Altmetric Badge
    Chapter 17 Automatic Identification of Persian Light Verb Constructions
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    Chapter 18 A Cognitive Approach to Word Sense Disambiguation
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    Chapter 19 A graph-Based Approach to WSD Using Relevant Semantic Trees and N-Cliques Model
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    Chapter 20 Using Wiktionary to Improve Lexical Disambiguation in Multiple Languages
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    Chapter 21 Two Stages Based Organization Name Disambiguity
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    Chapter 22 Optimizing CRF-Based Model for Proper Name Recognition in Polish Texts
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    Chapter 23 Methods of Estimating the Number of Clusters for Person Cross Document Coreference Task
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    Chapter 24 Coreference Resolution Using Tree CRFs
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    Chapter 25 Arabic Entity Graph Extraction Using Morphology, Finite State Machines, and Graph Transformations
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    Chapter 26 Integrating Rule-Based System with Classification for Arabic Named Entity Recognition
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    Chapter 27 Space Projections as Distributional Models for Semantic Composition
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    Chapter 28 Distributional Models and Lexical Semantics in Convolution Kernels
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    Chapter 29 Multiple Level of Referents in Information State
  31. Altmetric Badge
    Chapter 30 Inferring the Scope of Negation in Biomedical Documents
  32. Altmetric Badge
    Chapter 31 LDA-Frames: An Unsupervised Approach to Generating Semantic Frames
  33. Altmetric Badge
    Chapter 32 Unsupervised Acquisition of Axioms to Paraphrase Noun Compounds and Genitives
  34. Altmetric Badge
    Chapter 33 Age-Related Temporal Phrases in Spanish and Italian
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    Chapter 34 Can Modern Statistical Parsers Lead to Better Natural Language Understanding for Education?
  36. Altmetric Badge
    Chapter 35 Exploring Classification Concept Drift on a Large News Text Corpus
  37. Altmetric Badge
    Chapter 36 An Empirical Study of Recognizing Textual Entailment in Japanese Text
  38. Altmetric Badge
    Chapter 37 Automated Detection of Local Coherence in Short Argumentative Essays Based on Centering Theory
  39. Altmetric Badge
    Chapter 38 A Symbolic Approach for Automatic Detection of Nuclearity and Rhetorical Relations among Intra-sentence Discourse Segments in Spanish
  40. Altmetric Badge
    Chapter 39 Feature Specific Sentiment Analysis for Product Reviews
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    Chapter 40 Biographies or Blenders: Which Resource Is Best for Cross-Domain Sentiment Analysis?
  42. Altmetric Badge
    Chapter 41 A Generate-and-Test Method of Detecting Negative-Sentiment Sentences
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    Chapter 42 Roles of Event Actors and Sentiment Holders in Identifying Event-Sentiment Association
  44. Altmetric Badge
    Chapter 43 Applying Sentiment and Social Network Analysis in User Modeling
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    Chapter 44 The 5W Structure for Sentiment Summarization-Visualization-Tracking
  46. Altmetric Badge
    Chapter 45 The Naive Bayes Classifier in Opinion Mining: In Search of the Best Feature Set
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    Chapter 46 A Domain Independent Framework to Extract and Aggregate Analogous Features in Online Reviews
  48. Altmetric Badge
    Chapter 47 Learning Lexical Subjectivity Strength for Chinese Opinionated Sentence Identification
  49. Altmetric Badge
    Chapter 48 Building Subjectivity Lexicon(s) from Scratch for Essay Data
  50. Altmetric Badge
    Chapter 49 Emotion Ontology Construction from Chinese Knowledge
Attention for Chapter 39: Feature Specific Sentiment Analysis for Product Reviews
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Chapter title
Feature Specific Sentiment Analysis for Product Reviews
Chapter number 39
Book title
Computational Linguistics and Intelligent Text Processing
Published in
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-28604-9_39
Book ISBNs
978-3-64-228603-2, 978-3-64-228604-9
Authors

Subhabrata Mukherjee, Pushpak Bhattacharyya, Mukherjee, Subhabrata, Bhattacharyya, Pushpak

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Cuba 1 <1%
India 1 <1%
United Kingdom 1 <1%
Egypt 1 <1%
Sri Lanka 1 <1%
Unknown 162 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 26%
Student > Master 37 22%
Student > Bachelor 22 13%
Researcher 10 6%
Lecturer 8 5%
Other 28 17%
Unknown 20 12%
Readers by discipline Count As %
Computer Science 104 62%
Engineering 16 10%
Business, Management and Accounting 10 6%
Unspecified 4 2%
Social Sciences 3 2%
Other 7 4%
Unknown 24 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 September 2012.
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#15,251,053
of 22,678,224 outputs
Outputs from Lecture notes in computer science
#4,643
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Outputs of similar age
#163,183
of 244,101 outputs
Outputs of similar age from Lecture notes in computer science
#268
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So far Altmetric has tracked 8,122 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.