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20182021
most citedEmotional Embeddings: Refining Word Embeddings to Capture Emotional Content of Words

14 citations · 37 across the 4 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.LG2020★ 3 cited

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…

cs.LG2020

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…