Applications of video analytics

1. Will the Future of Search be Semantic in 2021? www.repustate.com

2. Table of Contents What are the major applications of video analytics? Why do we need Video AI? How can you benefit from video analytics applications?

3. How video content analytics is improving customer insights? www.repustate.com

4. Video content analytics (VCA) helps companies extract brand insights by evaluating consumer sentiment from all types of video data. There has been a noticeable increase in user-generated video content as social media platforms like TikTok and YouTube incentivize people for uploading videos. Brands are noticing this trend and have increased product and promotion videos as well. This is also because studies show that viewers retain 95% of a message when they watch it in a video, compared to only 10% when reading it.

5. What are the major applications of video analytics? Video analytics helps you get a deeper understanding of what your customers want. This translates to better product planning, resource optimization, and improved delivery of marketing and advertising functions. With the boom of social media platforms like YouTube, TikTok, Facebook, and even niche mediums like Twitch, it has become very easy for organizations to leverage the applications of VCA for customer outreach. Video content analysis, therefore, is widely used to this effect by private companies as well as government agencies for public health and safety measures, security, logistics, crowd control, traffic, and other functions.

6. Why Do We Need Sentiment Analysis On Social Media? Sentiment analysis of social media data can tell you if customers truly like you or not. This is far beyond empty numbers in a metrics tool. If they share your post, if it is because they are writing a positive review, or because they are tagging you to be sarcastic. Some of the benefits of social media sentiment analysis are listed below: • Discover new market trends • Design targeted marketing campaigns • Track brand awareness • Develop a personalized brand experience • Conceive new product ideas

7. Why do we need Video AI? Video AI enables engaging video experiences and intuitive content discovery. You can recognize thousands of people, places, things, and actions in stored and streaming videos while creating your own custom entity labels. Video content analysis also enables you to extract rich metadata from the overall video or at shot/frame level. Below are some of the major reasons why companies need video analytics for more focused marketing functions:

8. Common Channels for Social Media Mining

9. How can you benefit from video analytics applications? Repustate has been helping clients around geographies make sense of their video content and finding hidden insights to drive business intelligence. If you’re thinking of increasing the video share in your digital marketing efforts, you need an intuitive video analytics solution - one that has the ability to scale, understand multiple languages natively, and enable powerful content search and discovery. Look no further. Repustate’s powerful analysis video content solution is available in 23 different languages. With imposing named entity recognition (NER) capabilities, it reads all 23 languages natively and does not need translations. This means the insights you get are as accurate as they can get. Don’t take our word for it. Look at the stats.

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