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Found 5 papers, 1 papers with code
Model Explainability in Deep Learning Based Natural Language Processing
We then applied one of the NLP explainability methods Layer-wise Relevance Propagation (LRP) to a NLP classification model.
A Novel Method of Extracting Topological Features from Word Embeddings
In this paper, we introduce a novel algorithm to extract topological features from word embedding representation of text that can be used for text classification.
Topological Data Analysis in Text Classification: Extracting Features with Additive Information
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.
Emotion Detection in Text: Focusing on Latent Representation
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, artificial intelligence, etc.
A Short Survey of Topological Data Analysis in Time Series and Systems Analysis
Topological Data Analysis (TDA) is the collection of mathematical tools that capture the structure of shapes in data.
