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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 Hits 21 – 24 of 24 21 A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter Alqarafi, Abdulrahman; Adeel, Ahsan; Hawalah, Ahmed; Swingler, Kevin; Hussain, Amir. - : Springer International Publishing, 2018. : Cham, Switzerland, 2018 Abstract: In the literature, limited work has been conducted to develop sentiment resources for Saudi dialect. The lack of resources such as dialectical lexicons and corpora are some of the major bottlenecks to the successful development of Arabic sentiment analysis models. In this paper, a semi-supervised approach is presented to construct an annotated sentiment corpus for Saudi dialect using Twitter. The presented approach is primarily based on a list of lexicons built by using word embedding techniques such as word2vec. A huge corpus extracted from twitter is annotated and manually reviewed to exclude incorrect annotated tweets which is publicly available. For corpus validation, state-of-the-art classification algorithms (such as Logistic Regression, Support Vector Machine, and Naive Bayes) are applied and evaluated. Simulation results demonstrate that the Naive Bayes algorithm outperformed all other approaches and achieved accuracy up to 91%. Keyword: Computational Intelligence and Machine Learning; Saudi dialect; Sentiment analysis; Word embedding URL: https://doi.org/10.1007/978-3-030-00563-4_57 http://hdl.handle.net/1893/29408 http://dspace.stir.ac.uk/bitstream/1893/29408/1/Camera%20Ready%20Paper-Bics%20Abdulrahman%20Alqarafi.pdf BASE Hide details 22 Modal Adverbs in FDG: Putting the Theory to the Test Keizer Evelien In: Open Linguistics, Vol 4, Iss 1, Pp 356-390 (2018) (2018) BASE Show details 23 Deep learning-based cryptocurrency sentiment construction Nasekin, Sergey; Chen, Cathy Yi-Hsuan. - : Berlin: Humboldt-Universität zu Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", 2018 BASE Show details 24 A Framework to Understand Emoji Meaning: Similarity and Sense Disambiguation of Emoji using EmojiNet Wijeratne, Sanjaya In: Browse all Theses and Dissertations (2018) BASE Show details Page: 1 2

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