Three gaps in computational text analysis methods for social sciences: A research agenda
We identify three gaps that limit the utility and obstruct the progress of computational text
analysis methods (CTAM) for social science research. First, we contend that CTAM …
analysis methods (CTAM) for social science research. First, we contend that CTAM …
Short text topic modeling techniques, applications, and performance: a survey
Analyzing short texts infers discriminative and coherent latent topics that is a critical and
fundamental task since many real-world applications require semantic understanding of …
fundamental task since many real-world applications require semantic understanding of …
User OCEAN personality model construction method using a BP neural network
Highlights What are the main findings? First, the combination of the methods of machine
learning with psychological methods to predict the user's OCEAN personality model could …
learning with psychological methods to predict the user's OCEAN personality model could …
Topic modeling and sentiment analysis of global climate change tweets
Social media websites can be used as a data source for mining public opinion on a variety
of subjects including climate change. Twitter, in particular, allows for the evaluation of public …
of subjects including climate change. Twitter, in particular, allows for the evaluation of public …
Applications of topic models
How can a single person understand what's going on in a collection of millions of
documents? This is an increasingly common problem: sifting through an organization's e …
documents? This is an increasingly common problem: sifting through an organization's e …
Topic modeling for short texts with auxiliary word embeddings
For many applications that require semantic understanding of short texts, inferring
discriminative and coherent latent topics from short texts is a critical and fundamental task …
discriminative and coherent latent topics from short texts is a critical and fundamental task …
[BUCH][B] Searchable talk: Hashtags and social media metadiscourse
M Zappavigna - 2018 - books.google.com
Metadata such as the hashtag is an important dimension of social media communication.
Despite its important role in practices such as curating, tagging, and searching content, there …
Despite its important role in practices such as curating, tagging, and searching content, there …
Big social data analytics in journalism and mass communication: Comparing dictionary-based text analysis and unsupervised topic modeling
This article presents an empirical study that investigated and compared two “big data” text
analysis methods: dictionary-based analysis, perhaps the most popular automated analysis …
analysis methods: dictionary-based analysis, perhaps the most popular automated analysis …
How sensory language shapes influencer's impact
Influencer marketing has become big business. But while influencers have the potential to
spread marketing messages and drive purchase, some posts get lots of engagement and …
spread marketing messages and drive purchase, some posts get lots of engagement and …
Combining machine-learning topic models and spatiotemporal analysis of social media data for disaster footprint and damage assessment
Current disaster management procedures to cope with human and economic losses and to
manage a disaster's aftermath suffer from a number of shortcomings like high temporal lags …
manage a disaster's aftermath suffer from a number of shortcomings like high temporal lags …