A survey of visual analytics techniques for machine learning
Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …
in the field of visualization. To better identify which research topics are promising and to …
The state of the art in integrating machine learning into visual analytics
Visual analytics systems combine machine learning or other analytic techniques with
interactive data visualization to promote sensemaking and analytical reasoning. It is through …
interactive data visualization to promote sensemaking and analytical reasoning. It is through …
An overview of sentiment analysis in social media and its applications in disaster relief
Sentiment analysis refers to the class of computational and natural language processing
based techniques used to identify, extract or characterize subjective information, such as …
based techniques used to identify, extract or characterize subjective information, such as …
A survey on information visualization: recent advances and challenges
Abstract Information visualization (InfoVis), the study of transforming data, information, and
knowledge into interactive visual representations, is very important to users because it …
knowledge into interactive visual representations, is very important to users because it …
Textflow: Towards better understanding of evolving topics in text
Understanding how topics evolve in text data is an important and challenging task. Although
much work has been devoted to topic analysis, the study of topic evolution has largely been …
much work has been devoted to topic analysis, the study of topic evolution has largely been …
Utopian: User-driven topic modeling based on interactive nonnegative matrix factorization
Topic modeling has been widely used for analyzing text document collections. Recently,
there have been significant advancements in various topic modeling techniques, particularly …
there have been significant advancements in various topic modeling techniques, particularly …
Interpretation and trust: Designing model-driven visualizations for text analysis
Statistical topic models can help analysts discover patterns in large text corpora by
identifying recurring sets of words and enabling exploration by topical concepts. However …
identifying recurring sets of words and enabling exploration by topical concepts. However …
Automatic keyword extraction for text summarization: A survey
In recent times, data is growing rapidly in every domain such as news, social media,
banking, education, etc. Due to the excessiveness of data, there is a need of automatic …
banking, education, etc. Due to the excessiveness of data, there is a need of automatic …
Leadline: Interactive visual analysis of text data through event identification and exploration
W Dou, X Wang, D Skau, W Ribarsky… - 2012 IEEE Conference …, 2012 - ieeexplore.ieee.org
Text data such as online news and microblogs bear valuable insights regarding important
events and responses to such events. Events are inherently temporal, evolving over time …
events and responses to such events. Events are inherently temporal, evolving over time …
Cloudlines: Compact display of event episodes in multiple time-series
We propose incremental logarithmic time-series technique as a way to deal with time-based
representations of large and dynamic event data sets in limited space. Modern data …
representations of large and dynamic event data sets in limited space. Modern data …