How Atomic AI Measures The Emotion In Your Content

How Atomic #AI Measures The Emotion In Your #Content - by @suhash_talwar @atomic_reach

  • Why Writing With Emotion is Important
    Emotional language can greatly impact how engaged a reader is with your content.
  • The emotional factor was looked at on a per article basis – using “hot” and “cold” as the indicator for the overall emotional intensity of a piece of content.
  • Soon after, we updated the feature to flag specific words as hot (emotional) or cold (not emotional) so that users had a better idea of what words were contributing to the level of emotion within a piece of content.
  • We noticed that our users would look at the emotional intensity of a piece of content, then haphazardly try and replace words.
  • After various iterations, the team was finally able to settle on a solid model for measuring emotion and was able to bake in the ability to provide recommendations to either increase or decrease the emotional intensity of the word.

If there is a single feature in our platform that has generated the most interest (but also the most confusion), it is our Emotion measure.
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Demystifying machine learning part 2: Supervised, unsupervised, and reinforcement learning

#machinelearning use cases:

1. Supervised
2. Unsupervised
3. Reinforcement

  • It is a type of machine learning, where one guides the system by tagging the output.
  • For example, a supervised machine learning system that can learn which emails are ‘spam’ and which are ‘not spam’ will have its input data tagged with this classification to help the machine learning system learn the characteristics or parameters of the  ‘spam’ email and distinguish it from those of ‘not spam’ emails.
  • Just as the three year old learns the difference between a ‘block’ and a ‘soft toy’, the supervised machine learning system learns which email is ‘spam’ and which is ‘not spam’.
  • Now instead of telling the child which toy to put in which box, you reward the child with a ‘big hug’ when it makes the right choice and make a ‘sad face’ when it makes the wrong action (e.g., block in a soft toy box or soft toy in the block box).
  • Based on your problem domain and the availability of data do you know which type of machine learning system you want to build?

Where business and experience meet emerging technology.
Continue reading “Demystifying machine learning part 2: Supervised, unsupervised, and reinforcement learning”

Chatbots as your Doctors – Chatbot News Daily

#insurtech 
⏹️ #chatbots as your Doctors #AI #HealthTech #Robots #fintech ⏩

  • With the help of Health Chatbots patients may receive immediate treatment and doesn’t need to wait till the appointment with the doctors.
  • For these kind of situations where a bot can easily guide the patient how to treat the disease which can be cured without visiting the doctor and also suggest when is the right time to visit the doctor.
  • HealthTap Bot allows the end users to ask question any time and receive immediate responses from the doctors free of cost.
  • Professional team delivering enterprise software solutions – Bot development, big data analytics, web & mobile apps, and Salesforce.
  • The impersonal nature of a bot could act as a benefit in certain situations, where an actual Doctor is not needed.

From all the fields that Artificial Intelligence will disrupt in coming years, HealthCare may see the highest paradigm shift. Artificial Intelligence’s influence in HealthCare industry will be wide…
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Chatbots as your Doctors – Maruti Techlabs – Medium

#Chatbots as your Doctors – Maruti Techlabs  #ai

  • With the help of Health Chatbots patients may receive immediate treatment and doesn’t need to wait till the appointment with the doctors.
  • For these kind of situations where a bot can easily guide the patient how to treat the disease which can be cured without visiting the doctor and also suggest when is the right time to visit the doctor.
  • HealthTap Bot allows the end users to ask question any time and receive immediate responses from the doctors free of cost.
  • Professional team delivering enterprise software solutions – Bot development, big data analytics, web & mobile apps, and Salesforce.
  • The impersonal nature of a bot could act as a benefit in certain situations, where an actual Doctor is not needed.

From all the fields that Artificial Intelligence will disrupt in coming years, HealthCare may see the highest paradigm shift. Artificial Intelligence’s influence in HealthCare industry will be wide…
Continue reading “Chatbots as your Doctors – Maruti Techlabs – Medium”

Demystifying Machine Learning Part 2: Supervised, Unsupervised, and Reinforcement Learning

Machine learning use cases #AI:

1. Supervised
2. Unsupervised
3. Reinforcement #DF16

  • You start by showing a block and then placing the block in the block box; similarly you pick up a soft toy and then place it in the toy box.
  • Unsupervised learning is a somewhat harder form of machine learning.
  • Very quickly after a few iterations the child learns which toys need to go into which box – this is called Reinforcement Learning .
  • Just as the three year old learns the difference between a ‘block’ and a ‘soft toy’, the supervised machine learning system learns which email is ‘spam’ and which is ‘not spam’.
  • For example, a supervised machine learning system that can learn which emails are ‘spam’ and which are ‘not spam’ will have its input data tagged with this classification to help the machine learning system learn the characteristics or parameters of the ‘spam’ email and distinguish it from those of ‘not spam’ emails.

Where business and experience meet emerging technology.
Continue reading “Demystifying Machine Learning Part 2: Supervised, Unsupervised, and Reinforcement Learning”

This Smart Radio Highlights The Key UX Challenge For Artificial Intelligence

This smart radio highlights the key UX challenge for artificial intelligence

  • The Emotional Radio shows the very first ways that AI might make its way into familiar objects whose capabilities can be rethought.
  • The Emotional Radio is a good example of the mime problem, wherein something “smart” simply mirrors us instead of becoming a true partner worth talking or interacting with.
  • By matching up the two data sets, the radio finds something to play.
  • The moods are then cross-referenced with Spotify’s data set about the emotional valence of all the music in its catalog.
  • When you come home, you hang up your clothes, look at your radio again.

Do you want music for your mood, or something that counters it? AI needs to figure that out.
Continue reading “This Smart Radio Highlights The Key UX Challenge For Artificial Intelligence”

Demystifying Machine Learning Part 2: Supervised, Unsupervised, and Reinforcement Learning

Machine learning use cases #AI:

1. Supervised
2. Unsupervised
3. Reinforcement

  • You start by showing a block and then placing the block in the block box; similarly you pick up a soft toy and then place it in the toy box.
  • Unsupervised learning is a somewhat harder form of machine learning.
  • Very quickly after a few iterations the child learns which toys need to go into which box – this is called Reinforcement Learning .
  • Just as the three year old learns the difference between a ‘block’ and a ‘soft toy’, the supervised machine learning system learns which email is ‘spam’ and which is ‘not spam’.
  • For example, a supervised machine learning system that can learn which emails are ‘spam’ and which are ‘not spam’ will have its input data tagged with this classification to help the machine learning system learn the characteristics or parameters of the ‘spam’ email and distinguish it from those of ‘not spam’ emails.

Where business and experience meet emerging technology.
Continue reading “Demystifying Machine Learning Part 2: Supervised, Unsupervised, and Reinforcement Learning”