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Text Categorization as a Graph Classification Problem

2015-07-01 · IJCNLP 2015 7 · Fran{\c{c}}ois Rousseau, Emmanouil Kiagias, Michalis Vazirgiannis

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Classification General Classification Graph Classification Opinion MiningText CategorizationText Classification

Arabic Text Categorization Algorithm using Vector Evaluation Method

2015-01-06 · Ashraf Odeh, Aymen Abu-Errub, Qusai Shambour, Nidal Turab

Text categorization is the process of grouping documents into categories based on their contents. This process is important to make information retrieval easier, and it became more important due to the huge textual infor…

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Adapting Neural Text Classification for Improved Software Categorization

2018-06-05 · Alexander LeClair, Zachary Eberhart, Collin McMillan

Software Categorization is the task of organizing software into groups that broadly describe the behavior of the software, such as "editors" or "science." Categorization plays an important role in several maintenance tas…

Classification General Classification text-classification Text Classification

Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs

2026-01-07 · Sethupathy Parameswaran, Suresh Sundaram, Yuan Fang arxiv

Node classification is a fundamental problem in information retrieval with many real-world applications, such as community detection in social networks, grouping articles published online and product categorization in e-…

Product Categorization Information Retrieval Node Classification Community Detection

Automatic Generation of Language-Independent Features for Cross-Lingual Classification

2018-02-12 · Sarai Duek, Shaul Markovitch

Many applications require categorization of text documents using predefined categories. The main approach to performing text categorization is learning from labeled examples. For many tasks, it may be difficult to find e…

Classification General Classification Text Categorization

Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization

2019-05-28 · Ting Huang, Gehui Shen, Zhi-Hong Deng

Recurrent Neural Networks (RNNs) are widely used in the field of natural language processing (NLP), ranging from text categorization to question answering and machine translation. However, RNNs generally read the whole t…

General Classification Machine Translation Question Answering Sentiment Analysis+3