The NetClass model is a network in which nodes represent terms and relationships are defined between terms that co-occur in the same document. Formally, let D ...

Apr 26, 2024 · More specifically, LRN-WRN outperforms state-of-the-art classifiers in 5 out of 7 domains, being within the top-2 best-performing classifier in ...

We studied the main characteristics of each style in order to choose features that allowed us to train classifiers that can distinguish between the two styles.

Jan 3, 2022 · Bibliographic details on NetClass: A network-based relational model for document classification.

NetClass: A network-based relational model for document classification · Incremental SVM-based classification in dynamic streaming networks · Scalable SVM-Based ...

Sep 10, 2020 · In other words it represents words in a coordinate system where related words, based on a corpus of relationships, are placed closer together.

Oct 22, 2024 · In this paper, we show how a simple feed-forward neural network can be trained to filter documents under these conditions, and that this method ...

Comparing between the text classification models we trained in order to choose the most accurate one for our problem.

In this paper, we present how to implement multi-text classification (sentence classification) on large number of documents with Convolutional neural network , ...

Relation classification is the task of identifying the semantic relation holding between two nominal entities in text.