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Sequential Models for Sentiment Analysis: A Comparative Study 21st

Sequential Models for Sentiment Analysis: A Comparative Stu...

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21st Mexican International Conference on Artificial Intelligence, MICAI 2022

作者： Adebanji, Olaronke Oluwayemisi Gelbukh, Irina Calvo, Hiram Ojo, Olumide Ebenezer Instituto Politécnico Nacional Natural Language and Text Processing Laboratory Centro de Investigacion en Computación CDMX Mexico

ISBN: (纸本)9783031194955

Sentiment analysis has been a focus of study in natural language processing (NLP) tasks in recent years. In this paper, we propose the task of analysing sentiments using five sequential models and we compare their performance on a Twitter dataset. We used the bag of words, as well as the tf-idf, and the Word2Vec embeddings, as input features to the models. The precision, recall, f1 and accuracy scores of the proposed models were used to evaluate the models’ performance. The Bi-LSTM model with Word2Vec embedding performs the best against the dataset, with an accuracy of 84%. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Embeddings

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A new disagreement measure for characterization of classification problems 6th

A new disagreement measure for characterization of classific...

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6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015

作者： Ledeneva, Yulia García-Hernández, René Arnulfo Gelbukh, Alexander Autonomous University of the State of Mexico Instituto Literario 100 Toluca State of Mexico50000 Mexico Natural Language and Text Processing Laboratory Center for Computing Research National Polytechnic Institute DF 07738 Mexico

ISBN: (纸本)9783319204680

Robert P.W. Duin, Elzbieta Pekalska and David M.J. Tax proposed the characterization of classification problems by classifier disagreement. They showed that it is possible to use a standard set of supervised classification problems for constructing a rule that allows deciding about the similarity of new problems to the existing ones. The classifier disagreement could be used to group classification problems in a way which could help to select the appropriate tools for solving new problems. Duin et al proposed a dissimilarity measure between two problems taking into account only the full disagreement matrices. They used a measure of the disagreement based on the coincidence of the classifier output however the correctness was not considered. In this work, we propose a new measure of disagreement which takes into account the correctness of classification result. To calculate the disagreement each object is analyzed to verify if it was classified correctly or incorrectly by the classifiers. We use this new disagreement measure to calculate the dissimilarity between two problems. Some experiments were done and the results were compared against Duin’s et al results. © Springer International Publishing Switzerland 2015.

关键词： Problem solving

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Summarizing conceptual graphs for automatic summarization task

Summarizing conceptual graphs for automatic summarization ta...

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7th International Symposium on Parameterized and Exact Computation, IPEC 2012

作者： Miranda-Jiménez, Sabino Gelbukh, Alexander Sidorov, Grigori Natural Language and Text Processing Laboratory Center for Computing Research National Polytechnic Institute Av. J. de D. Batiz s/n esq. M. Col. N. Indust. Vallejo 07738 Mexico City Mexico

ISBN: (纸本)9783642332920

We propose a conceptual graph-based framework for abstractive text summarization. While syntactic or partial semantic representations of texts have been used in literature, complete semantic representations have not been explored for this purpose. We use a complete semantic representation, namely, conceptual graph structures, composed of concepts and conceptual relations. To summarize a conceptual graph, we remove the nodes that represent less important content, and apply certain operations on the resulting smaller conceptual graphs. We measure the importance of nodes on weighted conceptual graphs by the HITS algorithm, augmented with some heuristics based on VerbNet semantic patterns. Our experimental results are promising. © 2013 Springer-Verlag.

关键词： Graphic methods

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Paragraph-level alignment of an english-spanish parallel corpus of fiction texts using bilingual dictionaries

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9th International Conference on text, Speech and Dialogue, TSD 2006

作者： Gelbukh, Alexander Sidorov, Grigori Vera-Félix, José Ángel Natural Language and Text Processing Laboratory Center for Research in Computer Science National Polytechnic Institute Av. Juan Dios Batiz s/n Zacatenco 07738 Mexico City Mexico

ISBN: (纸本)3540390901

Aligned parallel corpora are very important linguistic resources useful in many text processing tasks such as machine translation, word sense disambiguation, dictionary compilation, etc. Nevertheless, there are few available linguistic resources of this type, especially for fiction texts, due to the difficulties in collecting the texts and high cost of manual alignment. In this paper, we describe an automatically aligned English-Spanish parallel corpus of fiction texts and evaluate our method of alignment that uses linguistic data-namely, on the usage of existing bilingual dictionaries-to calculate word similarity. The method is based on the simple idea: if a meaningful word is present in the source text then one of its dictionary translations should be present in the target text. Experimental results of alignment at paragraph level are described. © Springer-Verlag Berlin Heidelberg 2006.

关键词： text processing

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A bilingual corpus of novels aligned at paragraph level

引用

5th International Conference on NLP, FinTAL 2006

ISBN: (纸本)3540373349

The paper presents a bilingual English-Spanish parallel corpus aligned at the paragraph level. The corpus consists of twelve large novels found in Internet and converted into text format with manual correction of formatting problems and errors. We used a dictionary-based algorithm for automatic alignment of the corpus. Evaluation of the results of alignment is given. There are very few available resources as far as parallel fiction texts are concerned, while they are non-trivial case of alignment of a considerable size. Usually, approaches for automatic alignment that are based on linguistic data are applied for texts in the restricted areas, like laws, manuals, etc. It is not obvious that these methods are. applicable for fiction texts because these texts have much more cases of non-literal translation than the texts in the restricted areas. We show that the results of alignment for fiction texts using dictionary based method are good, namely, produce state of art precision value. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Artificial intelligence

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On some optimization heuristics for lesk-like WSD algorithms

On some optimization heuristics for lesk-like WSD algorithms

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10th International Conference on Applications of natural language to Information Systems, NLDB 2005: natural language processing and Information Systems

作者： Gelbukh, Alexander Sidorov, Grigori Han, Sang-Yong Natural Language and Text Processing Laboratory Center for Computing Research National Polytechnic Institute 07738 Mexico Department of Computer Science and Engineering Chung-Ang University 221 Huksuk-Dong DongJak-Ku Seoul 156-756 Korea Republic of

For most English words, dictionaries give various senses: e.g., "bank" can stand for a financial institution, shore, set, etc. Automatic selection of the sense intended in a given text has crucial importance in many applications of text processing, such as information retrieval or machine translation: e.g., "(my account in the) bank" is to be translated into Spanish as "(mi cuenta en et) banco" whereas "(on the) bank (of the lake)" as "(en la) orilla (del logo)." To choose the optimal combination of the intended senses of all words, Lesk suggested to consider the global coherence of the text, i.e., which we mean the average relatedness between the chosen senses for all words in the text. Due to high dimensionality of the search space, heuristics are to be used to find a near-optimal configuration. In this paper, we discuss several such heuristics that differ in terms of complexity and quality of the results. In particular, we introduce a dimensionality reduction algorithm that reduces the complexity of computationally expensive approaches such as genetic algorithms. © Springer-Verlag Berlin Heidelberg 2005.

关键词： natural language processing systems

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Automatic enrichment of a very large dictionary of word combinations on the basis of dependency formalism

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3rd Mexican International Conference on Artificial Intelligence, MICAI 2004

作者： Gelbukh, Alexander Sidorov, Grigori Han, San-Yong Hernández-Rubio, Erika Natural Language and Text Processing Laboratory Center for Computing Research National Polytechnic Institute Av. Juan Dios Batiz s/n Zacatenco Mexico City07738 Mexico Department of Computer Science and Engineering Chung-Ang University 221 Huksuk-Dong DongJak-Ku Seoul156-756 Korea Republic of

ISBN: (纸本)3540214593

The paper presents a method of automatic enrichment of a very large dictionary of word combinations. The method is based on results of automatic syntactic analysis (parsing) of sentences. The dependency formalism is used for representation of syntactic trees that allows for easier treatment of information about syntactic compatibility. Evaluation of the method is presented for the Spanish language based on comparison of the automatically generated results with manually marked word combinations. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Syntactics

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Using electronic texts for an annotated corpus building

Using electronic texts for an annotated corpus building

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Mexican International Conference on Computer Science (ENC)

作者： S.N. Galicia-Haro Natural Language and Text Processing Laboratory Computational Research Center National Polytechnic Institute Mexico

Collections of texts with annotations on several levels are useful resources. They are employed for diverse tasks in theoretical research and natural language processing. The most important collections are dedicated to English. However, huge efforts are required to develop the corresponding resource for other languages. In this work, we present the initial steps for the compilation of an annotated Mexican corpus using electronic texts obtained from the Web.

关键词： natural languages natural language processing text processing Laboratories Acceleration Computer languages Problem-solving Proposals text analysis Information analysis

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