[PDF] Top 20 LexScore: A Semantic Approach to Scoring Domain Specific Sentiment Lexicons
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LexScore: A Semantic Approach to Scoring Domain Specific Sentiment Lexicons
... generating lexicons primarily cater to sentence-based sentiment analysis ...out sentiment scores for each word and not just the ones that would normally be ...the sentiment bearing words here ... See full document
5
A New Hybrid Approach to Sentiment Classification
... hybrid approach which involved sentiment classification in tweets, by interpo- lating sentiment lexicon score into unigram vectors, [41] arrived at the conclusion that the add-on lexicon for ... See full document
201
Using Games with a Purpose and Bootstrapping to Create Domain-Specific Sentiment Lexicons
... early approach, Hatzivassiloglou and McKeown [9] used syntactical relations to identify new sentiment ...Latent Semantic Analysis (LSA) to iden- tify sentiment terms in a large Web ...same ... See full document
8
An combined sentiment classification system for SIGHAN 8
... The results show that our system generally ranks in the middle of the 13 teams who partic- ipated in the evaluation, which proves the effec- tiveness of our system. Since our system is target- ed on improving F-values, ... See full document
5
Cross Domain Sentiment Classification with Target Domain Specific Information
... within-group domain pairs ...cross-group domain pairs ...the domain specific space is consistently larger than its corresponding value on the hidden space of SO model, as ...on domain ... See full document
9
Bootstrapping Semantic Lexicons for Technical Domains
... the semantic lexicon, which can lead to semantic ...the semantic class DISEASE is not predomi- nant, after some iterations the weak pattern “treat- ment of <X>” is selected, which also provides ... See full document
9
Multilingual Computational Semantic Lexicons in Action WYSINNWYG Approach to NLP
... Multilingual Computational Semantic Lexicons in Action WYSINNWYG Approach to NLP M u l t i l i n g u a l C o m p u t a t i o n a l S e m a n t i c L e x i c o n s in A c t i o n W Y S I N N W Y G A p[.] ... See full document
7
Multilingual Computational Semantic Lexicons in Action: The WYSINNWYG Approach to NLP
... In this paper, I study computational semantic lexicon representation from a multilingual point of view, reconciling different approaches to lexicon representation: i vagueness for lexeme[r] ... See full document
7
Towards Debugging Sentiment Lexicons
... discrete approach, polarity is defined to be one of the discrete values positive, negative, or ...fractional approach, polarity is defined as a 3-tuple of non- negative real numbers that sum to 1, ... See full document
11
On the Automatic Learning of Sentiment Lexicons
... with an interpretable sentiment score, the scores in the automatic lexicon are learned automatically on a weakly supervised task. We use the weights from an SVM model whose weights are formed by the sup- port ... See full document
6
Maximising Spanning Subtree Scores for Parsing Tree Approximations of Semantic Dependency Digraphs
... An analysis of the pre-processing (Schluter et al., 2014; Agi´c and Koller, 2014; Agi´c et al., 2015) versus statistical (this paper) approaches may pro- vide some insight as to why. Especially Agi´c et al. (2015) show ... See full document
5
Learning Sentiment Lexicons in Spanish
... reliable sentiment lexicon in a target language by using manually annotated lexicons from a source language? Second, if a manually annotated dataset is not available, could we use instead resources that ... See full document
5
Sentiment Lexicons for Arabic Social Media
... Arabic sentiment lexicons have low coverage—only a few thousand ...large sentiment lexicons that were automatically generated using two different methods: (1) by using distant supervision ... See full document
5
Toward Language Independent Methodology for Generating Artwork Descriptions – Exploring FrameNet Information
... nélls, 2008; Konstantopoulos et al., 2009). Al- though valuable information for generating natural languages is found in computational lexical-semantic resources such as the Berke- ley FrameNet (section 3) which ... See full document
6
Active Sentiment Domain Adaptation
... and domain-independent featu- ...where domain-independent and domain-specific featu- res were regarded as two types of ...Then domain-specific features were grouped into se- ... See full document
11
Sentiment analytics: Lexicons construction and analysis
... The technique used for data extraction is web crawler. Traditional search engines like AltaVista, Yahoo!, and Google can also complete tasks which web crawler does. However, there are some limitations for these ... See full document
41
Representation and Inference for Open-Domain QA: Strength and Limits of two Italian Semantic Lexicons
... our semantic lexicon in order to facilitate the computational exploitation of the bulk of information stored in the ...– Semantic Type: GeopoliticalLocation and Città – Semantic Type: ... See full document
6
Emotion-aware polarity lexicons for Twitter sentiment analysis.
... the sentiment analysis tasks, whose results are discussed later in this ...UMM lexicons. It is evident from the figures that all these lexicons capture the domain-specific vocabulary ... See full document
20
Building Dynamic Lexicons for Sentiment Analysis
... Liu (2012) exposes four problems when using lexicons for predicting sentiments: 1) Opposite affection depending on the opinion object (e.g. ‘big’ is positive for capacity but negative for electronic devices), 2) ... See full document
13
A Linguistically Informed Convolutional Neural Network
... Sentiment lexicons and other linguistic knowledge proved to be beneficial in po- larity classification. This paper intro- duces a linguistically informed Convolu- tional Neural Network (lingCNN), which ... See full document
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