Yuvraj Padmanabhan's scientific contributions

Publications (3)

Article
Full-text available
The ever-growing volume of brand-related conversations on social media platforms has captivated the attention of academics and practitioners, as the analysis of those conversations promises to offer unparalleled insight into consumers’ emotions. This article takes a step back from the hype, and investigates the vulnerabilities related to the analys...

Citations

... Sentiment analysis research has become popular over the past two decades [40,61,62]; as more efficient sentiment classification models are devised [63] and studies have compared automated analysis of conversations on social media with manual approaches [64]. ...
... In terms of identifying sentiment polarity, there are semantic challenges hindering automated analysis (e.g. colloquial language, abbreviations and emoticons), as well as those associated with irony and sarcasm (Canhoto & Padmanabhan, 2015; Vanden Bergh et al., 2011). Likewise, while much content is shared in text format, it is increasingly common for users to publish images (He et al., 2013), which are difficult to monitor automatically. ...