[PDF] Top 20 A Dataset and Classifier for Recognizing Social Media English
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A Dataset and Classifier for Recognizing Social Media English
... Improving English Recall Worldwide We further analyzed our English recall results according to messages’ country of origin, lim- iting our analysis to countries with at least 100 non-ambiguous, ... See full document
6
A Taxonomy, Dataset, and Classifier for Automatic Noun Compound Interpretation
... Using Mechanical Turk to obtain inter- annotator agreement figures has several draw- backs. The first and most significant drawback is that it is impossible to force each Turker to label every data point without putting ... See full document
10
The Public Sentiment and Emotional Variations in Social Media using Twitter Dataset
... the social media (Twitter, Facebook, Whatsapp, ...small dataset which cannot be extended for generalization with expected ...time dataset the neutral class is very ...best classifier ... See full document
7
Dreaddit: A Reddit Dataset for Stress Analysis in Social Media
... We present our results in Table 6. Our best model is a logistic regression classifier with Word2Vec embeddings trained on our unlabeled corpus, high-correlation features (≥ 0.4 absolute Pear- son’s r), and ... See full document
11
Sentiment Analysis for Social Media using SVM Classifier of Machine Learning
... The process of discovering different patterns from huge data is done with the help of data mining [1]. This process of data mining is the field of mathematics and computer science both whose prime goal is to mine the ... See full document
9
Developing an online hate classifier for multiple social media platforms
... This dataset is made available by Davidson et ...The dataset contains 25K tweets, randomly sampled from ...original dataset), with 19 tweets either deleted or otherwise ... See full document
34
Passive Diagnosis Incorporating the PHQ 4 for Depression and Anxiety
... from social media sites as training data (Losada and Crestani, ...a dataset collected in an in-person medical setting where clinical diag- nosis are performed by trained ...non-social ... See full document
7
NULI at SemEval 2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers
... small dataset makes it hard to train complex models; b) the characteristics of language on social media pose difficulties such as out-of- vocabulary words and ungrammatical sentences; c) the ... See full document
5
Improved Heart Disease Diagnostic IoT Model Using Machine Learning Techniques
... new classifier was proposed to distinguish normal and abnormal heartbeat ...This classifier removes noise and extracts ECG features. This classifier provided better performance when compared with ... See full document
5
Title: Recognizing Student’s Problem Using Social Media Data
... Twitter Dataset is given as an input to the ...Problems dataset is perform , it has been established that most important troubles engineering students come across their learning occurrences fall into ... See full document
7
A Dataset of Hindi English Code Mixed Social Media Text for Hate Speech Detection
... cial media text and developed a system that can identify the language of the words, normalize them to their standard forms, assign their POS tag and segment them into ...Hindi- English code-mixed tweets ... See full document
6
Investigating the Image of Entities in Social Media: Dataset Design and First Results
... these dataset experiments in at least two ...in English (see for instance (Malouf and Mullen, 2008), or (O’Connor et ...this dataset has been built with the involvement of specialists in political ... See full document
5
Identifying the Authors’ National Variety of English in Social Media Texts
... American English speakers, UK for the British English speakers, AUS for the Australian English variety and CAN for the Canadian En- glish ...on social media or other internet sources ... See full document
8
Recognizing Counterfactual Thinking in Social Media Texts
... We examined how the statistical model af- fected the final performance of each counterfac- tual form. The model we used for filtering out frequent false positives (e.g., birth day wishes) of Wish Verb form caused 0.03 F1 ... See full document
5
Identifying the Authors’ National Variety of English in Social Media Text
... American English speakers, UK for the British English speakers, AUS for the Australian English variety and CAN for the Canadian En- glish ...on social media or other internet sources ... See full document
8
Internetworking Indonesia Journal
... with social media datasets in ...a dataset which consists of English, Spanish, Dutch, and Italian tweets ...for English and Spanish languages, with an MAE value of ...MyPersonality ... See full document
6
<p>Mobile phone, social media usage, and perceptions of delivering a social media safer sex intervention for adolescents: results from two countries</p>
... risk-reduction curriculum designed for African-American adolescents, ages 14 – 18. 12 The curriculum consists of eight, 1.5- to 2-hour sessions that include interactive group discussions and role-playing. Participants ... See full document
9
TUHOI: Trento Universal Human Object Interaction Dataset
... action dataset, (Yao and Li, 2010) attempts to distinguish images where a human plays a musical instrument from images where he/she does not, (Delaitre et ...a dataset containing 40 human ... See full document
8
Community Overlapping Detection using Social Media Dataset and Redundant Node Elimination
... communities. Social media is expanding day by ...on social media. Users and vendors of social media is expanding with the rate of ... See full document
6
Nationalism, Populism and Global Social Media
... on social networks (58 per cent), followed by online magazines (53 per ...offline media plays a crucial role for 42 per cent of the respond- ents, and press releases are of interest to about 41 per cent ... See full document
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