# Keyphrase Cloud Generation of Broadcast News

arXiv: https://arxiv.org/abs/1306.4606 · HTML: https://mlsanity.com/paper/1306.4606/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Jun 2013.

## Built on by (most cited first, 7 of 7)

- [A Plug-and-Play Method for Controlled Text Generation](https://mlsanity.com/paper/2109.09707/) (2021)
- [Norm of Word Embedding Encodes Information Gain](https://mlsanity.com/paper/2212.09663/) (2022)
- [From Statistical Methods to Deep Learning, Automatic Keyphrase Prediction: A Survey](https://mlsanity.com/paper/2305.02579/) (2023)
- [EUROPA: A Legal Multilingual Keyphrase Generation Dataset](https://mlsanity.com/paper/2403.00252/) (2024)
- [Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction](https://mlsanity.com/paper/2104.08028/) (2021)
- [Unsupervised Keyphrase Extraction via Interpretable Neural Networks](https://mlsanity.com/paper/2203.07640/) (2022)
- [Research Scholar Interest Mining Method based on Load Centrality](https://mlsanity.com/paper/2203.10731/) (2022)

## Abstract (arXiv)

This paper describes an enhanced automatic keyphrase extraction method applied to Broadcast News. The keyphrase extraction process is used to create a concept level for each news. On top of words resulting from a speech recognition system output and news indexation and it contributes to the generation of a tag/keyphrase cloud of the top news included in a Multimedia Monitoring Solution system for TV and Radio news/programs, running daily, and monitoring 12 TV channels and 4 Radios.