The video content analytics challenge
The ability to access, analyze, and (re) use large amounts of data is of vital
importance. There is a continuously growing sea of user-generated video content strewn across
social media platforms along with video big data accumulating across enterprises. The challenge
is to have a video analysis platform that can not only annotate and organize semantically for video search,
but also harness sentiment scores for customer insights from
Voice of the Customer data and
social media listening.
With VCA, you don’t have to rely on the traditional and time-consuming manual process of reviewing
videos for relevant topics, themes, and events. Not only is manual intervention mired in extensive
costs but also errors due to human bias and inconsistencies. Repustate's impressive video content
analysis solution offers a simpler and more sophisticated way of semantic video analysis through
image recognition and sentiment extraction of videos on
YouTube, IGTV, Facebook, and even TikTok.
What makes Repustate’s Video Content Analytics Unique?
Repustate’s AI-driven video content analytics model works in 23 languages and dialects.
You can extract sentiment and brand mentions from videos on YouTube, Facebook, Instagram,
TikTok, and any other major channel. You can also dive into podcasts and enterprise-wide
audio files. Repustate’s intuitive video content analysis API can also identify logos,
for the most thorough analysis of video data. All of these insights are displayed in an
easy-to-use and intuitive dashboard. The unique features of Repustate’s video content analytics are:
- - Multilingual video content analysis
- - Analysing caption overlay
- - Capturing imagery for branded content analysis