2004 - Fellow of the American Association for the Advancement of Science (AAAS)
His scientific interests lie mostly in Artificial intelligence, Natural language processing, Sentiment analysis, Lexicon and Word. His work deals with themes such as Social media and Stance detection, which intersect with Artificial intelligence. His study ties his expertise on Valence together with the subject of Natural language processing.
His Sentiment analysis study combines topics in areas such as Crowdsourcing, Data mining and Phrase. Saif M. Mohammad combines subjects such as Context, Information retrieval and Set with his study of Phrase. His biological study spans a wide range of topics, including Affect, WordNet, Variety and Association.
His primary areas of investigation include Artificial intelligence, Natural language processing, Sentiment analysis, Lexicon and Word. His research integrates issues of Crowdsourcing, Social media and Association in his study of Artificial intelligence. His Natural language processing research is multidisciplinary, incorporating elements of SemEval, Stance detection and Arabic.
His Sentiment analysis study integrates concerns from other disciplines, such as Valence, Affect, Data science and Set. Saif M. Mohammad usually deals with Lexicon and limits it to topics linked to Support vector machine and Social media mining. His research in Word tackles topics such as Context which are related to areas like Supervised learning.
Saif M. Mohammad mostly deals with Artificial intelligence, Natural language processing, Cognitive psychology, Sentiment analysis and Citation. His Visualization and Phrase study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Field, Demographic analysis and Work, bridging the gap between disciplines. The Lexicon research Saif M. Mohammad does as part of his general Natural language processing study is frequently linked to other disciplines of science, such as Dashboard, therefore creating a link between diverse domains of science.
His research integrates issues of Utterance, TRACE and Narrative in his study of Cognitive psychology. The concepts of his Sentiment analysis study are interwoven with issues in Affect and Data science. Within one scientific family, Saif M. Mohammad focuses on topics pertaining to Social media under Data science, and may sometimes address concerns connected to Crowdsourcing.
Saif M. Mohammad mainly investigates Artificial intelligence, Natural language processing, Cognitive psychology, Affect and Sentiment analysis. His Artificial intelligence study focuses on SemEval in particular. His Natural language processing research includes themes of Labeled data, Arabic, Emotion classification and Citation.
State, Web search engine, Publishing and History are fields of study that overlap with his Citation research. His studies in Cognitive psychology integrate themes in fields like Bag-of-words model, Bigram, F1 score and Personality. His research combines Affective computing and Sentiment analysis.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON
Saif M. Mohammad;Peter D. Turney.
computational intelligence (2013)
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
Saif Mohammad;Svetlana Kiritchenko;Xiaodan Zhu.
joint conference on lexical and computational semantics (2013)
Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon
Saif Mohammad;Peter Turney.
north american chapter of the association for computational linguistics (2010)
Sentiment analysis of short informal texts
Svetlana Kiritchenko;Xiaodan Zhu;Saif M. Mohammad.
Journal of Artificial Intelligence Research (2014)
NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews
Svetlana Kiritchenko;Xiaodan Zhu;Colin Cherry;Saif Mohammad.
international conference on computational linguistics (2014)
SemEval-2016 Task 6: Detecting Stance in Tweets
Saif Mohammad;Svetlana Kiritchenko;Parinaz Sobhani;Xiaodan Zhu.
north american chapter of the association for computational linguistics (2016)
joint conference on lexical and computational semantics (2012)
SemEval-2018 Task 1: Affect in Tweets
Saif Mohammad;Felipe Bravo-Marquez;Mohammad Salameh;Svetlana Kiritchenko.
north american chapter of the association for computational linguistics (2018)
Using Hashtags to Capture Fine Emotion Categories from Tweets
Saif M. Mohammad;Svetlana Kiritchenko.
computational intelligence (2015)
Sentiment Analysis: Detecting Valence, Emotions, and Other Affectual States from Text
Saif M. Mohammad.
Emotion Measurement (2016)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: