63 citations · 94 across the 5 of their papers we have counts for
5 papers
A Novel Method of Extracting Topological Features from Word Embeddings
Shafie Gholizadeh, Armin Seyeditabari, Wlodek Zadrozny
In recent years, topological data analysis has been utilized for a wide range of problems to deal with high dimensional noisy data. While text representations are often high dimens…
Topological Data Analysis in Text Classification: Extracting Features with Additive Information
Shafie Gholizadeh, Ketki Savle, Armin Seyeditabari +1
While the strength of Topological Data Analysis has been explored in many studies on high dimensional numeric data, it is still a challenging task to apply it to text. As the prima…
Emotion Detection in Text: Focusing on Latent Representation
Armin Seyeditabari, Narges Tabari, Shafie Gholizadeh +1
In recent years, emotion detection in text has become more popular due to its vast potential applications in marketing, political science, psychology, human-computer interaction, a…
Emotional Embeddings: Refining Word Embeddings to Capture Emotional Content of Words
Armin Seyeditabari, Narges Tabari, Shafie Gholizade +1
Word embeddings are one of the most useful tools in any modern natural language processing expert's toolkit. They contain various types of information about each word which makes t…
Emotion Detection in Text: a Review
Armin Seyeditabari, Narges Tabari, Wlodek Zadrozny
In recent years, emotion detection in text has become more popular due to its vast potential applications in marketing, political science, psychology, human-computer interaction, a…