14 citations · 37 across the 4 of their papers we have counts for
6 papers
Model Explainability in Deep Learning Based Natural Language Processing
Shafie Gholizadeh, Nengfeng Zhou
Machine learning (ML) model explainability has received growing attention, especially in the area related to model risk and regulations. In this paper, we reviewed and compared som…
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…
A Short Survey of Topological Data Analysis in Time Series and Systems Analysis
Shafie Gholizadeh, Wlodek Zadrozny
Topological Data Analysis (TDA) is the collection of mathematical tools that capture the structure of shapes in data. Despite computational topology and computational geometry, the…