Audio Sentiment Analysis

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Audio Sentiment Analysis

• www.repustate.com

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Who listens to Podcasts?

• Marketers and podcast producers are always
  looking to reach unique, targeted audiences.
  Marketers are in search of media environments
  that people find engaging, while podcast
  producers are looking to attract audiences that
  are drawn by relevant content topics and quality
  material. 37 of Americans listen to podcasts at
  least once a month
• 24 of Americans listen to podcasts weekly
• 46 of podcast listeners are between the ages of
  18-34
• Podcast listeners are 45 more likely to have a
  college degree
• Podcast listeners are 37 more likely to have
  100,000 in annual income.
• In short, podcasts reach young, affluent
  audiences who are engaged by engaging, longer
  content.

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What is Semantic Search for Audio Podcasts?
Using Semantic Search for Audio makes your
podcast files easily searchable by semantically
indexing the content of your data. Users can
search your entire audio catalog for the exact
content they want without any manual tagging on
your end. Semantic search for audio provides
customer service teams, podcast producers,
marketing departments, and heads of sales the
power to search audio files by specific topics,
themes, and entities. These entities include
celebrities, politicians, locations, and more.
Semantic search automatically annotates your
podcast data with semantic analysis information
without any additional training requirements.
Just plug it in and get to work! With semantic
search, find anything you need at the click of a
button. Say goodbye to hours spent listening to
audio files and have access to what you need at
your fingertips.
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What are the benefits of Semantic Search for
Audio?
Using Semantic Search for audio analysis, you can
easily index, search, and discover topics,
themes, and entities. Using this audio content
analytics tool, you can also conduct sentiment
analysis on your audio files to derive sentiment
for keywords and topics. The biggest challenge
for quality audio content analysis tools lies in
their innate ability to not only search and
organize, but also access assets in a
semantically relevant way. Rather than having
your team manually listen to a full audio file
and guess at relevant keywords and the emotion
behind the voice, Semantic Search for Audio
analysis offers a dimensional search and browsing
interface for operating in podcast collections.
This makes it easier than ever before to unlock
the potential of your audio library, no matter
how complicated the search seems. There are
hundreds of audio analysis tools out there, but
nothing compares to what Semantic Search for
Audio can do for you and your business.
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How does Semantic Search for Audio find content
themes, topics, and entities in Podcasts?
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Thank you!

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Thank you!

• Understand your data, customers, employees with
  12X the speed and accuracy.

• Visit www.repustate.com to learn more