social media texts
Automatic morphological analysis on the material of Russian social media texts
... Internet texts, as they can be both normative texts (news, fiction, nonfiction) and less formal texts (such as blogs and texts from social networks), the morphological tagging has ...
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Detecting Uncertainty Cues in Hungarian Social Media Texts
... Hungarian social media ...annotated social media ...Hungarian texts. Our results indicated that specialties of social media texts should be accounted for when ...
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Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation
... in social media messages ...in social media and med- ical ontologies poses a major ...in social media messages and formal medical lan- guage used in the descriptions of medi- cal ...
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A Neural Network Model for Part Of Speech Tagging of Social Media Texts
... This paper presented a neural network model using Trans- fer Learning (TL) for Part-of-speech (POS) tagging of so- cial media texts. Two scenarios of TL were experimented. The first is cross-domain TL, ...
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Annotating Italian Social Media Texts in Universal Dependencies
... on social media texts (PoST- WITA) held at the 2016 edition of EVALITA, the evaluation campaign for Italian NLP tools 3 ...of social media texts, and Section 3 introduces the ...
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Recognizing Counterfactual Thinking in Social Media Texts
... Therefore, in this paper, we build a language- based model to recognize counterfactual forms in social media texts of Twitter and Facebook. There are many challenges for this task. First, counter- ...
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Bridging the Gap: Improve Part of speech Tagging for Chinese Social Media Texts with Foreign Words
... in social media texts, where a large body of user generated data is produced every ...informal texts lead to a challenge for part- of-speech (POS) tagging, which is one fun- damental task in ...
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Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters
... from social media texts in dif- ferent geographical regions during emer- gencies and ...from social media and tracking their shifts in different geographical regions during emergencies ...
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Detecting Event Related Links and Sentiments from Social Media Texts
... in Social Media sites is different from the one found in mainstream me- dia and the form of the words employed is some- times not the one we may find in a ...of Social Media platforms employ a ...
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Resource Creation and Evaluation for Multilingual Sentiment Analysis in Social Media Texts
... translated data obtained similar results as the use of native-speaker translations of the same data. Subsequently, we also showed that the use of multilingual data, including that obtained through machine translation, ...
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SoMaJo: State of the art tokenization for German web and social media texts
... The EmpiriST 2015 shared task on automatic linguistic annotation of computer-mediated communication / social media Beißwenger et al., 2016 consists of two subtasks that deal with NLP for[r] ...
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Sentiment Analysis in Social Media Texts
... presents a method for sentiment analysis that takes into account the special structure and linguistic con- tent of tweets. The texts are pre-processed in or- der to normalize the language employed and re- move ...
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Identifying the Authors’ National Variety of English in Social Media Texts
... US for the American English speakers, UK for the British English speakers, AUS for the Australian English variety and CAN for the Canadian En- glish variety. The non-native speakers of the En- glish are annotated with ...
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Vowel and Diacritic Restoration for Social Media Texts
... In this paper, we focus on two important problems of social media text normaliza- tion, namely: vowel and diacritic restora- tion. For these two problems, we pro- pose a hybrid model consisting both a dis- ...
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Exploring Lavender Tongue from Social Media Texts[In Chinese]
... 2. Preprocessing: Since stop words and punctuations are also regarded as important linguistic cues for various linguistic styles, only redundant information like web links and forum rules which appear in texts are ...
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SoMeWeTa: A Part of Speech Tagger for German Social Media and Web Texts
... and social media texts and that re- sult in a high proportion of out-of-vocabulary (OOV) words on which most taggers perform much worse than on in- vocabulary ...and social media ...
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A K Competitive Autoencoder for Aggression Detection in Social Media Text
... unregulated social media platforms, a major problem coming to surface is the aggressive nature of text used by people while interacting in these ...these texts with an appropriate sentiment score. ...
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LexToPlus: A Thai Lexeme Tokenization and Normalization Tool
... The increasing popularity of social me- dia has a large impact on the evolution of language usage. The evolution includes the transformation of some existing terms to enhance the expression of the writer’s emotion ...
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Bridging the gap between computable and expressive event representations in Social Media
... Palmer and Sporleder (2010) categorized and eval- uated the coverage gaps in FrameNet (Baker et al., 2003). Coverage, whether of undefined units, lem- mas, or senses, is of special importance when deal- ing with ...
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Social media as a popular mode for social communication: A review
... the social group's traditions influences the route in which individuals view promotions exhibited via social networking ...clients' social foundations as ...on social networking ...person's ...
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