Keyword Extraction

24 papers with code • 3 benchmarks • 5 datasets

Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document (Source: Wikipedia).

Latest papers with no code

Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach

no code yet • 19 Feb 2024

To the author's knowledge, this method has not been employed in the Persian language before on Instagram social network.

SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image data

no code yet • 10 Feb 2024

Second, we propose a new hybrid architecture that merges the cascaded and parallel architectures of SpeechCLIP into a multi-task learning framework.

Using Zero-shot Prompting in the Automatic Creation and Expansion of Topic Taxonomies for Tagging Retail Banking Transactions

no code yet • 8 Jan 2024

To evaluate our work, we asked 12 volunteers to answer a two-part form in which we first assessed the quality of the taxonomies created and then the tags assigned to merchants based on that taxonomy.

LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models

no code yet • 1 Dec 2023

We call our LLM-based framework Theme-Aware Keyword Extraction (LLM TAKE).

Automated Annotation of Scientific Texts for ML-based Keyphrase Extraction and Validation

no code yet • 8 Nov 2023

In this paper, we present two novel automated text labeling approaches for the validation of ML-generated metadata for unlabeled texts, with specific applications in environmental genomics.

A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews

no code yet • 13 Jun 2023

The efficiency of natural language processing has improved dramatically with the advent of machine learning models, particularly neural network-based solutions.

"Let's not Quote out of Context": Unified Vision-Language Pretraining for Context Assisted Image Captioning

no code yet • 1 Jun 2023

We exploit context by pretraining our model with datasets of three tasks: news image captioning where the news article is the context, contextual visual entailment, and keyword extraction from the context.

Ranking the locations and predicting future crime occurrence by retrieving news from different Bangla online newspapers

no code yet • 18 May 2023

There have thousands of crimes are happening daily all around.

Natural language processing on customer note data

no code yet • 3 May 2023

Automatic analysis of customer data for businesses is an area that is of interest to companies.

Thematic context vector association based on event uncertainty for Twitter

no code yet • 4 Apr 2023

The extraction of keywords with respective contextual events in Twitter data is a big challenge.