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Text Classification

151 papers with code ยท Natural Language Processing

Text classification is the task of assigning a sentence or document an appropriate category. The categories depend on the chosen dataset and can range from topics.

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Latest papers without code

PrivFT: Private and Fast Text Classification with Homomorphic Encryption

19 Aug 2019

Privacy and security have increasingly become a concern for computing services in recent years.

TEXT CLASSIFICATION

Shallow Domain Adaptive Embeddings for Sentiment Analysis

16 Aug 2019

This paper proposes a way to improve the performance of existing algorithms for text classification in domains with strong language semantics.

DOMAIN ADAPTATION SENTIMENT ANALYSIS TEXT CLASSIFICATION WORD EMBEDDINGS

Adaptive Regularization of Labels

15 Aug 2019

In addition, label regularization techniques such as label smoothing and label disturbance have also been proposed with the motivation of adding a stochastic perturbation to labels.

DATA AUGMENTATION TEXT CLASSIFICATION

On the Robustness of Projection Neural Networks For Efficient Text Representation: An Empirical Study

14 Aug 2019

Recently, there has been strong interest in developing natural language applications that live on personal devices such as mobile phones, watches and IoT with the objective to preserve user privacy and have low memory.

TEXT CLASSIFICATION WORD EMBEDDINGS

Learning Credible Deep Neural Networks with Rationale Regularization

13 Aug 2019

Recent explainability related studies have shown that state-of-the-art DNNs do not always adopt correct evidences to make decisions.

TEXT CLASSIFICATION

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification

7 Aug 2019

This work presents a new and simple approach for fine-tuning pretrained word embeddings for text classification tasks.

SENTIMENT ANALYSIS TEXT CLASSIFICATION WORD EMBEDDINGS

Debiasing Embeddings for Reduced Gender Bias in Text Classification

WS 2019

(Bolukbasi et al., 2016) demonstrated that pretrained word embeddings can inherit gender bias from the data they were trained on.

TEXT CLASSIFICATION WORD EMBEDDINGS

A Deep Learning Approach for Tweet Classification and Rescue Scheduling for Effective Disaster Management

5 Aug 2019

However, the processing of social media data and gathering of valuable information require a series of operations such as (1) processing each specific tweet for a text classification, (2) possible location determination of people needing help based on tweets, and (3) priority calculations of rescue tasks based on the classification of tweets.

FEATURE ENGINEERING TEXT CLASSIFICATION

Using Functional Schemas to Understand Social Media Narratives

WS 2019

We propose a novel take on understanding narratives in social media, focusing on learning {''}functional story schemas{''}, which consist of sets of stereotypical functional structures.

TEXT CLASSIFICATION

Detecting Everyday Scenarios in Narrative Texts

WS 2019

We introduce the task of scenario detection, in which we identify references to scripts.

TEXT CLASSIFICATION