[PDF][PDF] Keyphrase extraction using deep recurrent neural networks on twitter

Q Zhang, Y Wang, Y Gong… - Proceedings of the 2016 …, 2016 - aclanthology.org
Keyphrases can provide highly condensed and valuable information that allows users to
quickly acquire the main ideas. The task of automatically extracting them have received …

Textual keyword extraction and summarization: State-of-the-art

Z Nasar, SW Jaffry, MK Malik - Information Processing & Management, 2019 - Elsevier
With the advent of Web 2.0, there exist many online platforms that results in massive textual
data production such as social networks, online blogs, magazines etc. This textual data …

Voice User Interface: Literature review, challenges and future directions

F Rakotomalala, HN Randriatsarafara… - System Theory, Control …, 2021 - stccj.ucv.ro
Natural user interfaces are increasingly popular these days. One of the most common of
these user interfaces today are voice-activated interfaces, in particular intelligent voice …

Keyword extraction: a modern perspective

T Nomoto - SN Computer Science, 2022 - Springer
The goal of keyword extraction is to extract from a text, words, or phrases indicative of what it
is talking about. In this work, we look at keyword extraction from a number of different …

Keyphrase extraction from disaster-related tweets

J Ray Chowdhury, C Caragea, D Caragea - The world wide web …, 2019 - dl.acm.org
While keyphrase extraction has received considerable attention in recent years, relatively
few studies exist on extracting keyphrases from social media platforms such as Twitter, and …

Detecting crisis events from unstructured text data using signal words as crisis determinants

H Senaratne, M Mühlbauer, S Götzer… - … Journal of Digital …, 2023 - Taylor & Francis
Earth observation data provides valuable information and support along the disaster
management cycle. However, information from satellite remote sensing is often not available …

Encoding conversation context for neural keyphrase extraction from microblog posts

Y Zhang, J Li, Y Song, C Zhang - … of the 2018 Conference of the …, 2018 - aclanthology.org
Existing keyphrase extraction methods suffer from data sparsity problem when they are
conducted on short and informal texts, especially microblog messages. Enriching context is …

On identifying hashtags in disaster twitter data

JR Chowdhury, C Caragea, D Caragea - Proceedings of the AAAI …, 2020 - aaai.org
Tweet hashtags have the potential to improve the search for information during disaster
events. However, there is a large number of disaster-related tweets that do not have any …

[BUCH][B] Cybersecurity analytics

RM Verma, DJ Marchette - 2019 - taylorfrancis.com
Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn
data science techniques critical for tackling cybersecurity challenges, and for the data …

Keyphrase generation: A multi-aspect survey

E Çano, O Bojar - 2019 25th Conference of Open Innovations …, 2019 - ieeexplore.ieee.org
Extractive keyphrase generation research has been around since the nineties, but the more
advanced abstractive approach based on the encoder-decoder framework and sequence-to …