sentiment analysis
Arabic Sentiment Analysis: A Survey
... conceptual analysis. Formal Concept Analysis and Fuzzy Formal Concept Analysis (FCA/FFCA) specifically were employed in works by Li and Tsai [23] showing an abstract conceptual classification system ...
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Twitter Sentiment Analysis of Movie Reviews using Machine Learning Techniques.
... the sentiment from the twitter ...a sentiment analysis is a system or model that takes the documents that analyzed the input, and generates a detailed document summarizing the opinions of the given ...
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Study of Automatic Extraction, Classification, and Ranking of Product Aspects Based on Sentiment Analysis of Reviews
... a concrete summary in his paper on the role of negation in Sentiment Analysis [7]. They present computational approaches, and modeled the role of negation in sentiment analysis. In addition, ...
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Beyond positive or negative: qualitative sentiment analysis of social media reactions to unexpected stressful events
... Food crises can provide an illustrating case of emerging affective expressions from unexpected events, since food-related incidents are not seen as inevitable, for example, compared to natural disasters. There are ...
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Referenciation in YouTube Texts: a study for Sentiment Analysis
... semi-automated sentiment analysis. We applied content and discourse analysis as research methods, and statistical analysis software for the collection of word ...improve sentiment ...
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Sentiment Analysis on Twitter for the Portuguese Language
... Sentiment analysis has different scopes that can be analysed, varying between doc- ument level, sentence level or word ...Analysing sentiment on the word level, will simply check the polarity of that ...
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Improving international attractiveness of higher education institutions based on text mining and sentiment analysis
... During sentiment analysis two approaches are used to classify sentiments – machine learning or lexicon-based (Liu and Zhang, 2012; Feldman, ...with sentiment analysis (Gao, Hao, and Fu ...
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REPOSITORIO INSTITUCIONAL DA UFOP: SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods.
... Ahmadi et al. [] performed a comparison of Twitter-based sentiment analysis tools. They selected twenty tools and tested them across five Twitter datasets. This benchmark is the work that most approximate ...
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Data extraction and preparation to perform a sentiment analysis using open source tools: the example of a Facebook fashion brand page
... This is the peer reviewed version of the following article: Teixeira, A. & Laureano, R.M. S. (2017). Data extraction and preparation to perform a sentiment analysis using open source tools: the example ...
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Systematic review on the use of ontology for sentiment analysis in Web content
... Os sistemas para análise de sentimento de dados qualitativos não estruturados disponíveis na Web possuem arquitetura que normalmente incluem as fases de seleção, coleta, extração de conteúdo, classificação e análise e se ...
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A Multimodal Approach to Image Sentiment Analysis
... Multimodal sentiment analysis is a process for the classi- fication of the content of composite comments in social media at the sentiment level that takes into consideration not just the textual ...
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Sentiment analysis on multipolarized social networks
... Science, sentiment analysis (or opinion mining) is the set of techniques, algorithms and models that combines Data Mining, Machine Learning, Linguistics, Natural Language Processing (NLP) and Text Analy- ...
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Feature-level sentiment analysis applied to brazilian portuguese reviews
... HOntology contains 282 concepts categorized into 16 top-level concepts (‘Acomodação’ [‘Accom- modation’], ‘Aparência’ [‘Design’], ‘Instalações’ [‘Facility’], ‘Tipo de Hóspede’ [‘GuestType’], ‘Hos- pitalidade’ ...
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How to predict explicit recommendations in online reviews using text mining and sentiment analysis
... 9 Despite the contributions of our study and its large sample size, we were limited by our use of a single information source (Yelp) and a single type of business (restaurants). Future research may confirm our results ...
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Text Mining for Social Networks Sentiment Analysis
... As temáticas da mineração de texto e da análise de sentimentos continuam numa fase de grande crescimento e são cada vez mais procuradas nos mais diversos contex[r] ...
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Automatic Expansion of a Social Judgment Lexicon for Sentiment Analysis
... The tasks of recognition, classification and evaluation of polar human adjectives in our environment use a lexicon of 24,792 adjectival lemmas, which are partially[r] ...
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Applying text mining techniques to forecast the stock market fluctuations of large it companies with twitter data: descriptive and predictive approaches to enhance the research of stock market predictions with textual and semantic data
... for sentiment analysis is the polarity analysis with the functionality set of the library ...accurate sentiment analysis, in particular he recommends the libraries, qdap, syuzhet, ...
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Um benchmark para comparação de métodos para análise de sentimentos
... sentence-level sentiment analysis methods using gold standard datasets that span different types of data ...the sentiment analysis area and have made signif- icant efforts to obtain the latest ...
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Adam Deep Learning with SOM for Human Sentiment Classification
... of sentiment classification, opinion mining, polarity measures, ...Therefore, sentiment classification is extremely effective and obligate in social network ...the sentiment analysis process ...
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Alpha Generation with Twitter’s Daily Momentum
... for sentiment analysis in order to make a sentiment analysis as robust as possible: 1 - “While machine do analytics, humans do analysis” by Anjali Lai – improving the final outcome of a ...
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