Walls.io
Walls.io is a social wall tool that helps you collect brand and user-generated content from different channels.
With Walls.io you can aggregate hashtag, username and page content from Twitter, LinkedIn, Instagram, Facebook, YouTube, Flickr, Tumblr, Pinterest, Vimeo, Reddit, and RSS. You can also upload your own posts, photos or videos.
You can also go beyond social media and allow your audience to upload content directly to the wall without posting on social media.
Use a Walls.io social wall to boost engagement at events, in shops, hotels, restaurants, and offices. You can also use it to collect posts for your hashtag campaign, and even embed it on your website.
International brands like Google, Cisco, ISO and the UN are using it to boost engagement and collect amazing user-generated content.
Try it for free! You'll love it!
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BrandVox
- Comprehensive, easy-to-understand dashboards with all crucial social media metrics.
- Audience Insights (age, gender, geo, sources, growth)
- Hashtag performance analysis.
- Content analysis (text styles, emotions).
- Posting insights (day, time, best formats).
- Comparative reports and benchmarking.
- Text analysis feature: defining tone of voice, emotions, complexity, and predictive performance score in your texts.
- AI-powered content plan creation feature based on your previous performance and audience's preferences.
- Hashtag suggestions.
- Simple unlimited post scheduler with labels for content organization.
- Social listening: monitoring mentions and tags in real-time.
- Sentiment detection (positive, negative, neutral) and emotion detection (over 30 emotions).
- Intensity detection helps prioritize reactions based on predictive reputational damage.
- Insights about mentions: mention coverage, dynamics, topics.
- Alerts
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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Azure Face API
Embed facial recognition into your apps for a seamless and highly secured user experience. No machine learning expertise is required. Features include: face detection that perceives faces and attributes in an image; person identification that matches an individual in your private repository of up to 1 million people; perceived emotion recognition that detects a range of facial expressions like happiness, contempt, neutrality, and fear; and recognition and grouping of similar faces in images. Recognize faces according to diverse attributes. Add facial recognition to your apps, all through a single API call. Run Face in the cloud or on the edge in containers. Rely on enterprise-grade security and privacy applied to both your data and any trained models. Detect, identify, and analyze faces in images and videos. Build on top of this technology to support various scenarios. Detect one or more human faces along with attributes.
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