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Technology Career

Watch talk ➟ http://bit.ly/1SGlQqj Interested in what your customers (or their customers) are talking about, and how that’s changing over time? The most popular 'topic trending' analyses depend on the investigation of how keyword (or term) usage change over time. Using keyword trends to index topic trends is highly suitable for short-form text, such as search terms, hashtags, or tweets. However, exploring trends in topic prevalence across longer, more free-form texts, such as call center telephone transcripts, is better served by grouping together topically-related words that co-occur. In this talk, we'll show an example of using Latent Dirichlet Allocation (LDA; Blei, Ng, & Jordan, 2003) in R to group words in call center transcripts into multiword topics over which we explore trends. We’ll also demonstrate the how the use of Structural Topic Modeling (Roberts, Stewart, Tingley, & Airoldi, 2013) can aid in further investigation of how document-level covariates (in this case, additional call- or caller-based characteristics) can affect topic prevalence and topic trends.

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In this vendor presentation given at WCBP, we introduce a new glycan fluorescent label, RapiFluor-MS, which is used to label N-linked glycans. This innovative label improves FLR and mass spectrometry signals for glycan characterization and profiling analysis. Plus - our GlycoWorks RapiFluor-MS N-Glycan Kit now allows you to finish glycan deglycosylation, labeling and cleanup in 3 steps and just 30 minutes. Learn more about this novel technology and its applications for glycosylated proteins: http://www.waters.com/glycans See more of Waters' solutions for biopharmaceutical laboratories: http://www.waters.com/biopharmaceutical Playback a full video of this talk, recorded Jan. 27, 2015 at WCBP: http://www.waters.com/waters/library.htm?cid=10116552&lid=134833758

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