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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 Hits 1 – 20 of 85 1 E se a marca me responde com emoji?: impacto das características da CMC na perceção e atitudes face à marca Cruz, Sara Catarina Pires Antunes. - 2021 BASE Show details 2 Understanding patient experience from online medium Cho, Hyun Duk. - 2021 BASE Show details 3 Not your daddy’s theatre criticism : countering white supremacy culture with inclusive possibility models Mikhaiel, Yasmin Zacaria. - 2021 BASE Show details 4 Hölderlin übersetzen : Gedanken über einen Dichter auf der Flucht Reitani, Luigi. - Bozen : Folio Verlag, 2020 BLLDB UB Frankfurt Linguistik Show details 5 Essays on the use of computational linguistics in marketing Lemaire, Alain Philippe. - 2020 BASE Show details 6 Essays on the use of computational linguistics in marketing ... Lemaire, Alain Philippe. - : Columbia University, 2020 BASE Show details 7 Drug Reviews: Cross-condition and Cross-source Analysis by Review Quantification Using Regional CNN-LSTM Models Thoomkuzhy, Ajith Mathew. - : Technological University Dublin, 2020 In: Dissertations (2020) BASE Show details 8 Die Familiennamen der Reichsstadt Frankfurt am Main im 15. Jahrhundert Steffens, Rudolf. - St. Ingbert : Röhrig Universitätsverlag, 2019 BLLDB UB Frankfurt Linguistik Show details 9 JÄMFÖRELSE AV ATTITYDANALYS ALGORITMER FÖR SPELOMDÖMEN ; COMPARISON OF SENTIMENT ANALYSIS ALGORITHMS FOR GAME REVIEWS Gernandt, Niclas; Farhod, Jaser. - : KTH, Hälsoinformatik och logistik, 2019 BASE Show details 10 Magie, Gerüchte, Machtkampf : Hexenverfolgung in der kurkölnischen Stadt Neuss Kohlhöfer, Alexandra. - 2017 BLLDB UB Frankfurt Linguistik Show details 11 La chanson dans le film français et francophone depuis la Nouvelle Vague Obergöker, Timo (Herausgeber); Lagabrielle, Renaud (Herausgeber). - Würzburg : Königshausen & Neumann, 2016 BLLDB UB Frankfurt Linguistik Show details 12 The Beginning: Tel Quel in the 1960s Landry, Matthew Peterson. - : eScholarship, University of California, 2016 In: Landry, Matthew Peterson. (2016). The Beginning: Tel Quel in the 1960s. UC Santa Cruz: Literature. Retrieved from: http://www.escholarship.org/uc/item/78c3t5gg (2016) BASE Show details 13 Sentiment analysis: text, pre-processing, reader views and cross domains Haddi, Emma. - : Brunel University London, 2015 BASE Show details 14 Einblicke : Rezensionen zur Esperantologie und Interlinguistik [Rezension] Vallon, Hervé (Herausgeber); Haupenthal, Reinhard (Gefeierter); Haupenthal, Reinhard. - Bad Bellingen : Ed. Iltis, 2015 BLLDB UB Frankfurt Linguistik Show details 15 Deutsch kontrastiv aus italienischer Sicht : Phraseologie, Temporalität und Pragmatik Di Meola, Claudio (Hrsg.); Puato, Daniela (Hrsg.). - Frankfurt am Main : Lang-Ed., 2015 BLLDB UB Frankfurt Linguistik Show details 16 Sentiment analysis in hospitality using text mining: the case of a Portuguese eco-hotel Calheiros, Ana Catarina dos Santos. - 2015 Abstract: Jel Classification System: Z32 Tourism and Development; M30 Marketing and Advertising ; The rapid development of the Internet and mobile devices enabled the emergence of travel and hospitality review sites, leading to a large number of customer opinion posts. While such comments may influence future demand of the targeted hotels, they can also be used by hotel managers for improving customer experience. Nevertheless, this trend poses a problem, considering information is widely scattered, making almost impossible to extract from it useful knowledge. In this study, with the aim of facilitating this process, sentiment classification of an eco-hotel is assessed through a text mining approach using several different sources of customer reviews. Two dictionaries are compiled for building the lexicon used to parse the 401 reviews collected from a Portuguese eco-hotel between January and August of 2015. Then, the latent Dirichlet allocation (LDA) modeling algorithm is applied to gather relevant topics that characterize a given hospitality issue by a sentiment. Findings of this study state that accuracy is influenced by interaction between LDA generated topic models and the correct construction of both dictionaries. These results also reveal that text mining can generate new insights into variables that have been extensively studied in hospitality industry, including that hotel food generates ordinary positive sentiments for the case studied, while hospitality generates both ordinary and strong positive feelings. Such results are valuable for hospitality management, validating the approach proposed. ; O rápido desenvolvimento da Internet e dos dispositivos móveis possibilitou o aparecimento de sites de viagens e sites de opinião na indústria hoteleira, levando a um grande número opiniões publicadas por parte do cliente. Embora, esses comentários possam influenciar a procura futura de certos hotéis, estes também podem ser usados pelos gestores dos hotéis para melhorar a experiência do cliente. No entanto, esta tendência representa um problema, uma vez que hoje em dia a informação se apresenta bastante ampla e dispersa, tornando quase impossível analisar todas as opiniões de clientes. Neste estudo, com o objetivo de facilitar este processo, a classificação de sentimentos de um hotel ecológico é avaliada através de uma abordagem de “text mining” usando diversas fontes de comentários de clientes. Dois dicionários foram compilados para a construção do léxico usado para analisar os 401 comentários recolhidos a partir de um Eco hotel português entre janeiro e agosto de 2015. Em seguida, o algoritmo de modelação “latent Dirichlet allocation” (LDA) é aplicado para reunir tópicos relevantes que caracterizam uma determinada questão de hospitalidade por um sentimento. Os resultados apurados neste estudo focam essencialmente que a precisão do mesmo é influenciada pela interação entre o modelo LDA, neste caso entre os tópicos por ele gerados e a correta construção de ambos os dicionários. Estes resultados revelam também que o “text mining” pode gerar novas perspetivas acerca de variáveis que têm sido extensivamente estudadas na indústria hoteleira, incluindo, no caso estudado, que a comida do hotel gera sentimentos positivos comuns, enquanto a hospitalidade gera ambos os sentimentos: positivos comuns e positivos fortes. Tais resultados são valiosos para a gestão hoteleira validando a abordagem proposta. Keyword: Classificação de sentimentos; Customer reviews; Gestão hoteleira; Hospitality management; Opiniões de clientes; Sentiment classification; Text mining URL: http://hdl.handle.net/10071/11522 BASE Hide details 17 Combining Lexicon- and Learning-based Approaches for Improved Performance and Convenience in Sentiment Classification Sommar, Fredrik; Wielondek, Milosz. - : KTH, Skolan för datavetenskap och kommunikation (CSC), 2015 BASE Show details 18 Context-aware sentiment analysis : a lexicon-based machine learning approach ... Gindl, Stefan. - : TU Wien, 2015 BASE Show details 19 New Methods for Detecting Deceptive Product Reviews Kahn, Andrea M.. - 2015 BASE Show details 20 Doctoral candidates' information practice through research writing : cases of East-Asian students in Australian universities Liao, Jiadong. - 2015 BASE Show details Page: 1 2 3 4 5

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