Answers.Body: <p>You could formulate the problem as a topic classification task, hence you need labeled data.</p>
  <p>From an unsupervised point of view, you could represent sentences with some fixed feature vector (latent representation).</p>
  <ol>
  <li><a href="https://arxiv.org/abs/1511.06349" rel="nofollow noreferrer">Generating Sentences from a Continuous Space</a>.</li>
  <li><a href="https://cs.stanford.edu/%7Equocle/paragraph_vector.pdf" rel="nofollow noreferrer">Paragraph2Vec</a>.</li>
  </ol>
  <blockquote>
  <p>BRIEF-Dynasil Corporation Of America <strong>Reports</strong> Q2 EPS Of $0.08</p>
  <p>China's night-owl retail investors leverage up to dominate <strong>oil futures</strong> trade</p>
  </blockquote>
  <p>Self-attention models would be very useful to this kind of problems since you don't need to encode all the context in the last hidden cell of some RNN model to classify to which theme the headline belongs.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-05-18T15:32:39.787Z
Answers.LastActivityDate: 2018-05-18T15:32:39.787Z
Answers.LastEditDate: 2020-06-17T09:57:20.710Z
Answers.UserDisplayName: Fadi Bakoura
Body: <p>I am looking to extract the central theme from a given news headline using NLP or text mining. Is there any reference that goes in this direction?</p>
  <p>Here's an example. Let's say that I have the following news headline.</p>
  <blockquote>
  <p>BRIEF-Dynasil Corporation Of America Reports Q2 EPS Of $0.08</p>
  </blockquote>
  <p>Then the algorithm should produce</p>
  <blockquote>
  <p>Reports</p>
  </blockquote>
  <p>Here's another example. The input is</p>
  <blockquote>
  <p>China's night-owl retail investors leverage up to dominate oil futures trade</p>
  </blockquote>
  <p>And the output would e.g. be</p>
  <blockquote>
  <p>oil futures</p>
  </blockquote>
  
Tags: <machine-learning><deep-learning><natural-language-processing><reference-request>
Title: Are there any references of NLP/text mining techniques for identifying the theme of news headlines?
UserDisplayName: Trinadh Gupta
ThreadText: # Are there any references of NLP/text mining techniques for identifying the theme of news headlines?
  
  (Asked by: username_0 on 2018-05-14)
  
  I am looking to extract the central theme from a given news headline using NLP or text mining. Is there any reference that goes in this direction?
  
  Here's an example. Let's say that I have the following news headline.
  
  > BRIEF-Dynasil Corporation Of America Reports Q2 EPS Of $0.08
  
  Then the algorithm should produce
  
  > Reports
  
  Here's another example. The input is
  
  > China's night-owl retail investors leverage up to dominate oil futures trade
  
  And the output would e.g. be
  
  > oil futures
  
  **Tags:** machine-learning, deep-learning, natural-language-processing, reference-request
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2018-05-18. Score: 0 | Accepted answer
  
  You could formulate the problem as a topic classification task, hence you need labeled data.
  
  From an unsupervised point of view, you could represent sentences with some fixed feature vector (latent representation).
  
  1. [Generating Sentences from a Continuous Space](https://arxiv.org/abs/1511.06349).
  2. [Paragraph2Vec](https://cs.stanford.edu/%7Equocle/paragraph_vector.pdf).
  
  > BRIEF-Dynasil Corporation Of America **Reports** Q2 EPS Of $0.08
  >
  > China's night-owl retail investors leverage up to dominate **oil futures** trade
  
  Self-attention models would be very useful to this kind of problems since you don't need to encode all the context in the last hidden cell of some RNN model to classify to which theme the headline belongs.
  
  
  ---
  
  