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Enhancement of a subjective word lexicon by semantic tests

Matthieu Vernier, Laura Monceaux
2010 Revue TAL  
In this context, we present a method to automatically enhance a lexicon of subjective terms.  ...  We then evaluate the lexicon enhancement by testing the detection of local evaluation in a corpus of 5 000 blogs notes and comments.  ...  Turney a évalué l'efficacité de sa technique en comparant l'orientation prédite à celle définie dans le General Inquirer Lexicon (Stone, 1966) qui contient une liste de 3 596 mots étiquetés comme positifs  ... 
dblp:journals/tal/VernierM10 fatcat:macywzgkhnho5hyg7drpn3qlhm

A generation effect with numbers rather than words

John M. Gardiner, Jean M. C. Rowley
1984 Memory & Cognition  
According to that hypothesis, the generation effect is due to enhanced activation ofthe semantic features of a word's representation in the subjective lexicon.  ...  It has previously been shown that a word from a list is more likely to be remembered if the word was generated, rather than read, by the subject.  ...  to enhanced activation of semantic features of a word's representation in the subjective lexicon.  ... 
doi:10.3758/bf03198305 pmid:6521645 fatcat:ykved4r5wvbdhjbe4dx2mvrgsa

Study on the Organizational Pattern of Mental Lexicon for Chinese ESL College Students of Science

Wanyi Du, Ying Gao
2013 International Journal of English Linguistics  
Results show that the organizational pattern of Chinese ESL learners' mental lexicon is a mix of semantic and non-semantic network, and it is rather dynamic.  ...  The evidence results from a carefully designed empirical research where the subjects are ESL students with different language proficiencies from software school of DUT.  ...  I also feel thankful for the students participating in the word association test and vocabulary knowledge scale test.  ... 
doi:10.5539/ijel.v3n4p50 fatcat:q2jlq2z7gjanlhohc5k4wpkuze

Lsislif: Feature Extraction and Label Weighting for Sentiment Analysis in Twitter

Hussam Hamdan, Patrice Bellot, Frederic Bechet
2015 Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)  
For subtask B, a Logistic Regression classifier has been trained after extracting several groups of features including lexical, syntactic, lexiconbased, Z score and semantic features.  ...  A weighting schema has been adapted for positive and negative labels in order to take into account the unbalanced distribution of tweets between the positive and negative classes.  ...  For the test set 2015, we note that using Z score feature provides a gain of 0.45%, n-gram provides a gain of 0.28%, lexicon features gain is about 3.31%, LDA gain is 0.8%, Brown clusters 0.44%, semantic  ... 
doi:10.18653/v1/s15-2095 dblp:conf/semeval/HamdanBB15 fatcat:66gjdics7zgb3it6oumep65n6e

A Semantic Conceptualization using Tagged Bag-of-Concepts for Sentiment Analysis

Yassin S. Mehanna, M. Mahmuddin
2021 IEEE Access  
Is building a structure of concepts increases the accuracy of overall sentiment towards specific opinion target? Does TBoC approach enhance SA results for short text messages?  ...  In this study, a semantic conceptualization method using tagged bag-of-concepts for SA is proposed to detect the correct sentiment towards the actual target entity that considers all affective and conceptual  ...  Counts of Dataset Documents, Words, Concepts, Aspects, Opinions, and Categories I Input Text Count Number of train documents 1,900 Number of test documents 428 Number of words in test documents 13,511  ... 
doi:10.1109/access.2021.3107237 fatcat:2kjmloselvgn5mmrfgt4xifjf4

Rule-Based Weibo Messages Sentiment Polarity Classification towards Given Topics

Hongzhao Zhou, Yonglin Teng, Min Hou, Wei He, Hongtao Zhu, Xiaolin Zhu, Yanfei Mu
2015 Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing  
Taking 20 given topics and a total of 19,469 weibo messages released by SIGHAN-2015 Bake-off as the test data, the overall F value of the rule-based system CUCsas is 0.69 in the unrestricted test.  ...  semantic orientation relationship between the exp and topic; (3) the sentiment polarity classification of the exp.  ...  nq]: The word with a semantic marker of product name is forbidden; (3) */na: A word with the semantic marker of product attribute must appear; (4) */topic&nq: The topic word must is also a product name  ... 
doi:10.18653/v1/w15-3123 dblp:conf/acl-sighan/ZhouTHHZZM15 fatcat:2ys742olt5acdg5xhg2zojhyn4

Representation in the mental lexicon: Implications for theories of the generation effect

James S. Nairne, Constance Pusen, Robert L. Widner
1985 Memory & Cognition  
Finally, Experiment 3 examined the read/generate variable as a function of an item's frequency of use in the language.  ...  These results indicate that representation in the mental lexicon is a necessary, but not a sufficient, condition for the generation effect.  ...  This research was supported, in part. by grants from the Organized Research Fund of the University of Texas at Arlington.  ... 
doi:10.3758/bf03197011 pmid:4033420 fatcat:zy3q7ow2vvh6zar5563mnin5ru

Anaphora Resolution for Biomedical Literature by Exploiting Multiple Resources [chapter]

Tyne Liang, Yu-Hsiang Lin
2005 Lecture Notes in Computer Science  
In this paper, a resolution system is presented to tackle nominal and pronominal anaphora in biomedical literature by using rich set of syntactic and semantic features.  ...  Unlike previous researches, the verification of semantic association between anaphors and their antecedents is facilitated by exploiting more outer resources, including UMLS, WordNet, GENIA Corpus 3.02p  ...  A predefined threshold is given for the final selection of the candidates. ) 1 ( 1 , i j i j i tw c Max w w × = w i,j : score of word i in semantic type j w i : count of word i in semantic type j Max c  ... 
doi:10.1007/11562214_65 fatcat:g5j2di223bhknkayhsovkhdooa

Word Association and Its Function at the Constituent Understanding on the Language Learning

Arti Prihatini
2020 KnE Social Sciences  
In word constituent learning, word association tests are carried out by asking questions so that the result can show the semantic networks of words that are classified by word type.  ...  Word association is a relation between a word with other words because of the semantic relationship.  ...  Acknowledgments The author intended to express gratitude and appreciation to University of Muhammadiyah Malang that has provided motivation and support for the researcher.  ... 
doi:10.18502/kss.v4i4.6461 fatcat:fcvzts3gpjanzklmjhg5kem75a

Semantic memory and the generation effect: Some tests of the lexical activation hypothesis

John M. Gardiner, James A. Hampton
1985 Journal of Experimental Psychology. Learning, Memory and Cognition  
This finding--the generation effect--has been attributed to semantic memory and, more particularly, to the enhanced activation of the semantic features comprising a word's representation in the subjective  ...  Representation in the subjective lexicon is neither a necessary nor a sufficient condition for the effect to emerge.  ...  it becomes impossible to draw any sharp distinction between the subjective lexicon and semantic memory as a whole, then it becomes unclear that there is any need to retain the concept of a subjective  ... 
doi:10.1037/0278-7393.11.1-4.732 fatcat:kd3j4vj52jfjdio3rv75faxztu

Semantic memory and the generation effect: Some tests of the lexical activation hypothesis

John M. Gardiner, James A. Hampton
1985 Journal of Experimental Psychology. Learning, Memory and Cognition  
This finding--the generation effect--has been attributed to semantic memory and, more particularly, to the enhanced activation of the semantic features comprising a word's representation in the subjective  ...  Representation in the subjective lexicon is neither a necessary nor a sufficient condition for the effect to emerge.  ...  it becomes impossible to draw any sharp distinction between the subjective lexicon and semantic memory as a whole, then it becomes unclear that there is any need to retain the concept of a subjective  ... 
doi:10.1037//0278-7393.11.1-4.732 fatcat:kwh4c7jq3zbxjnr5l5jwnzr6ya

Lexical Cohesion Patterns of Natural Science Academic Text and Implications for Lexical Teaching: Textual Analysis of IELTS Reading Passages

Yi Wang
2022 Theory and Practice in Language Studies  
Pedagogical implications are revealed by combining research findings with a lexical-based teaching approach, lexical syllabus design and knowledge structure development in the subject matter.  ...  Reiteration patterns establish a panoramic view and taxonomic framework of subject matter, whereas collocation patterns focus on detailed explanations, examples and contextual extension that can contribute  ...  Semantic relations can be emphasised under specific context settings, enhancing students' subject matter knowledge. B.  ... 
doi:10.17507/tpls.1205.03 fatcat:p4lz4no5qje6zmyupm7he47udq

TeamX: A Sentiment Analyzer with Enhanced Lexicon Mapping and Weighting Scheme for Unbalanced Data

Yasuhide Miura, Shigeyuki Sakaki, Keigo Hattori, Tomoko Ohkuma
2014 Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)  
Firstly, since lexicon features were shown to be effective in SemEval-2013 Task 2, various lexicons and pre-processors for them are introduced to enhance lexical information.  ...  Secondly, since a distribution of sentiment on tweets is known to be unbalanced, an weighting scheme is introduced to bias an output of a machine learner.  ...  Processes to enhance word-to-lemma mapping. (a) A spelling corrector to normalize out-ofvocabulary words. (b) Two Part-of-Speech (POS) taggers to realize word-to-lemma mapping in two perspectives.  ... 
doi:10.3115/v1/s14-2111 dblp:conf/semeval/MiuraSHO14 fatcat:wqucjbbylrfzznmyudyhoxsf2m

The impact of semantics on aspect level opinion mining

Eman M. Aboelela, Walaa Gad, Rasha Ismail
2021 PeerJ Computer Science  
To address these problems, a semantic-based aspect level opinion mining (SALOM) model is proposed. The SALOM extracts the product aspects based on the semantic similarity and classifies the comments.  ...  However, the nature of online comments affects the performance of the opinion mining process because they may contain negation words or unrelated aspects to the product.  ...  The accuracy of the classification is enhanced by using a sentiment lexicon and a revised corpus.  ... 
doi:10.7717/peerj-cs.558 fatcat:haerxznn4bb2fnemrjrznhmapq

Document Embeddings for Arabic Sentiment Analysis

Amira Barhoumi, Yannick Estève, Chafik Aloulou, Lamia Hadrich Belguith
2017 Conference on Language Processing and Knowledge Management  
We tested some preprocessing method, and we show that light stemming enhance the performance of classification.  ...  Research and industry are more and more focusing in finding automatically the polarity of an opinion regarding a specific subject or entity.  ...  Then, the lexicon entries were used to detect opinion words and assign to each one a sentiment class. [26] built a sentiment lexicon of about 120,000 Arabic words and created a SA system on top of it.  ... 
dblp:conf/lpkm/BarhoumiEAB17 fatcat:nr4jxaq5ovc2rpvs56wrhdacwu
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