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CD posted a blog post

From social media to public health surveillance: Word embedding based clustering method for twitter classification

Social media provide a low-cost alternative source for public health surveillance and health-related classification plays an important role to identify useful information. We summarized the recent classification methods using social media in public health. These methods rely on bag-of-words (BOW) model and have difficulty grasping the semantic meaning of texts. Unlike these methods, we present a word embedding based clustering method. Word embedding is one of the strongest trends in Natural…See More
Jan 4, 2018
CD commented on CD's blog post From social media to public health surveillance: Word embedding based clustering method for twitter classification
"The recent classification approaches in public health are summarized into three main categories: keywords-based approaches, learningbased approaches and lexicon-based approaches DOI: 10.1109/SECON.2017.7925400 IEEE…"
Nov 25, 2017
CD posted a blog post

From social media to public health surveillance: Word embedding based clustering method for twitter classification

Social media provide a low-cost alternative source for public health surveillance and health-related classification plays an important role to identify useful information. We summarized the recent classification methods using social media in public health. These methods rely on bag-of-words (BOW) model and have difficulty grasping the semantic meaning of texts. Unlike these methods, we present a word embedding based clustering method. Word embedding is one of the strongest trends in Natural…See More
Nov 25, 2017
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Nov 1, 2017
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From social media to public health surveillance: Word embedding based clustering method for twitter classification

Social media provide a low-cost alternative source for public health surveillance and health-related classification plays an important role to identify useful information. We summarized the recent classification methods using social media in public health. These methods rely on bag-of-words (BOW) model and have difficulty grasping the semantic meaning of texts. Unlike these methods, we present a word embedding based clustering method. Word embedding is one of the strongest trends in Natural…See More
Oct 25, 2017
CD posted a blog post

From social media to public health surveillance: Word embedding based clustering method for twitter classification

Social media provide a low-cost alternative source for public health surveillance and health-related classification plays an important role to identify useful information. We summarized the recent classification methods using social media in public health. These methods rely on bag-of-words (BOW) model and have difficulty grasping the semantic meaning of texts. Unlike these methods, we present a word embedding based clustering method. Word embedding is one of the strongest trends in Natural…See More
Oct 25, 2017
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Oct 24, 2017

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CD's Blog

From social media to public health surveillance: Word embedding based clustering method for twitter classification

Posted on January 4, 2018 at 10:30am 1 Comment

Social media provide a low-cost alternative source for public health surveillance and health-related classification plays an important role to identify useful information. We summarized the recent classification methods using social media in public health. These methods rely on bag-of-words (BOW) model and have difficulty grasping the semantic meaning of texts. Unlike these methods, we present a word embedding based clustering method. Word embedding is one of the strongest trends in Natural…

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