I am currently exploring three services for identifying person's tweets or facebook post's are helpfulness or not:
will I need to write my on wrapper on these services to identify the helpfulness characteristic or is there any other way to just query & get result.
can anyone please guide which service I need to use for this task
Thanks
According to Neil, sure, all depends on how you define helpfulness.
Discovery:
If you want use Discovery you need some base to get the data, you can filter the data about you want with filter. By using data analysis combined with cognitive intuition to take your unstructured data and enrich it so you can discover the information you need.
Personality:
If you want use Personality, understand personality characteristics, needs, and values in written text. The service uses linguistic analytics to infer individuals' intrinsic personality characteristics, including Big Five, Needs, and Values, from digital communications such as email, text messages, tweets, and forum posts.
Watson Knowledge Studio:
If you want to work with models for tweets, you can use WKS (Watson knowledge Studio), this service provides easy-to-use tools for annotating unstructured domain literature and uses those annotations to create a custom machine-learning model that understands the language of the domain. The accuracy of the model improves through iterative testing, ultimately resulting in an algorithm that can learn from the patterns that it sees and recognize those patterns in large collections of new documents. For example, if you want learn about car, you can simple give some models to WKS.
It all depends on how you define helpfulness. Whether it is in general, or helpful to answering a question etc.
For Personality Insights, have a look at https://www.ibm.com/watson/developercloud/doc/personality-insights/models.html which has all the traits, as well as what they mean. The closest trait to helpfulness is probably Conscientiousness.
Neil
