[PDF][PDF] Keyphrase extraction using deep recurrent neural networks on twitter
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 …
quickly acquire the main ideas. The task of automatically extracting them have received …
Textual keyword extraction and summarization: State-of-the-art
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 …
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 …
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 …
is talking about. In this work, we look at keyword extraction from a number of different …
Keyphrase extraction from disaster-related tweets
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 …
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 …
management cycle. However, information from satellite remote sensing is often not available …
Encoding conversation context for neural keyphrase extraction from microblog posts
Existing keyphrase extraction methods suffer from data sparsity problem when they are
conducted on short and informal texts, especially microblog messages. Enriching context is …
conducted on short and informal texts, especially microblog messages. Enriching context is …
On identifying hashtags in disaster twitter data
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 …
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 …
data science techniques critical for tackling cybersecurity challenges, and for the data …
Keyphrase generation: A multi-aspect survey
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 …
advanced abstractive approach based on the encoder-decoder framework and sequence-to …