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Calculating semantic relatedness of lists of nouns using WordNet path length ...
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Bilingual English-German word embedding models for scientific text ...
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Bilingual English-German word embedding models for scientific text ...
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Semantic Classification of Multidialectal Arabic Social Media
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In: Dissertations (2021)
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Application of Support Vector Machine (SVM) in the Sentiment Analysis of Twitter DataSet
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In: Applied Sciences ; Volume 10 ; Issue 3 (2020)
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Abstract:
At present, in the mainstream sentiment analysis methods represented by the Support Vector Machine, the vocabulary and the latent semantic information involved in the text are not well considered, and sentiment analysis of text is dependent overly on the statistics of sentiment words. Thus, a Fisher kernel function based on Probabilistic Latent Semantic Analysis is proposed in this paper for sentiment analysis by Support Vector Machine. The Fisher kernel function based on the model is derived from the Probabilistic Latent Semantic Analysis model. By means of this method, latent semantic information involving the probability characteristics can be used as the classification characteristics, along with the improvement of the effect of classification for support vector machine, and the problem of ignoring the latent semantic characteristics in text sentiment analysis can be addressed. The results show that the effect of the method proposed in this paper, compared with the comparison method, is obviously improved.
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Keyword:
fisher kernel; probabilistic latent semantic analysis (PLSA); support vector machines (SVM); text sentiment analysis
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URL: https://doi.org/10.3390/app10031125
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How are you? How a Robot can Learn to Express its own Roboceptions
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Mémoire et langage : apports de l’« Analyse de la Sémantique Latente » à l’étude du développement
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In: ISSN: 0013-7545 ; EISSN: 1969-6981 ; Enfance- Paris- ; https://hal-univ-orleans.archives-ouvertes.fr/hal-03263464 ; Enfance- Paris-, Universitaires de France, 2019, pp.395-411. ⟨10.3917/enf2.193.0395⟩ (2019)
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A Semantic Unsupervised Learning Approach to Word Sense Disambiguation
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In: Doctoral Dissertations (2018)
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Análisis semántico latente mediante descomposición en valores singulares
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Robust Semantic Text Similarity Using LSA, Machine Learning and Linguistic Resources ...
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Quantitative Metrics for Comparison of Hyper-dimensional LSA Spaces for Semantic Differences
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In: Doctoral Dissertations (2016)
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Tensor Term Indexing: An application of HOSVD for Document Summarization
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In: Proceedings of the 4th International Symposium on Computational Intelligence Informatics (ISCII 2009) ; http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?asf_arn=null&asf_iid=null&asf_pun=5339523&asf_in=null&asf_rpp=null&asf_iv=null&asf_sp=null&asf_pn=1 (2015)
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Latent Semantic Analysis, Corpus stylistics and Machine Learning Stylometry for Translational and Authorial Style Analysis: The Case of Denys Johnson-Davies’ Translations into English
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In: http://rave.ohiolink.edu/etdc/view?acc_num=kent1429300641 (2015)
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Тематические модели: добавление биграмм и учет сходства между униграммами и биграммами ... : Topic models: adding bigrams and taking account of the similarity between unigrams and bigrams ...
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Нокель, М.А.; Лукашевич, Н.В.. - : Научно-исследовательский вычислительный центр Московского государственного университета им. М.В. Ломоносова, 2015
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Examining the Role of Religiosity in Moral Cognition, Specifically in the Formation of Sacred Values, and Researching Computational Models for Analyzing Sacred Rhetoric and its Consequential Emotions
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In: DTIC (2015)
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Cross-language source code re-use detection using latent semantic analysis
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