So you report with reasonable accuracies what the sentiment about a particular brand or product is. After publishing this report, your client comes back to you and says "Hey this is good. Now can you tell me ways in which I can convert the negative sentiments into positive sentiments?" – Sentiment Analysis stops there and we enter the realms of Opinion Mining. Opinion Mining is about having a deeper understanding of the review that was written. Typically, a detailed review will not just have a sentiment attached to it. It will have information and valuable feedback that can literally help to build the next strategy.

This shinyapp is a live shiny/R web application (hosted on shinyapps.io) The web-application visualizes simple dictionary/word-count based sentiment-analysis scores for tweets (during Mar 17th - April 4th 2014) on smartphones in India in a few different ways. The shiny application can be found up and running here.

As part of my ramp up on Google APIs I wanted to create a project that would allow me some practical exercise in a context of a real application. All GCP services used in this example can be run under the GCP Free Tier plan. More more information see https://cloud.google.com/free/ The Go code, docs, and setup scripts are located in my GitHub repo.

Machine learning is used for generating information and knowledge via a technical system, e.g., a software. The system learns patterns or structures using previous examples and is subsequently able to independently evaluate and classify information and data. Sentiment analysis, content monitoring, technology categorization, predictive coding, clustering, alerting, and documents search. Machine learning has already become very important in the context of big data since it enables processing large amounts of data quickly and easily.

In this video I will introduce you to the GRAPH API, I will use the GRAPH API Explorer and show you some example requests.

The global text analytics market size is estimated to grow from $3.97 billion in 2017 to $8.79 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 17.2%. The customer experience management (CEM) is expected to hold the largest market share during the forecast period. Among the various applications in the text analytics market, the CEM application is expected to hold the largest market share during the forecast period. Text mining is the most traditional application in customer service and is frequently utilized to improve customer experience through various information sources. Today, text analytics is implemented to offer quick, computerized feedback to the clients, which significantly reduces dependency on executives for resolving issues.

For a more technical explanation, this and this article can be read. Here you can find a good explanation as well as a list of the mostly used Kernel functions.

Have you ever wondered how Watson, IBM's AI works? Lastly there's empathy where Watson has tone analysis, emotion analysis and can provide personality insights. Watson's tone analyzer for example uses psycholinguistics, emotion analysis and language analysis to assess tone. Now Expressive SSML and Voice Transformation SSML bring life and a human lilt to computed voices.

However, most importantly, the restaurant owner has the most scope for extracting valuable snippets of insights from customer reviews with ratings between 3-4/5. I recently had a chance to deliver a talk in a conference titled'Understanding Consumers in the Digital World', held at IIM Lucknow, Noida Campus on 16-17th November 2015. The audience mainly comprised of marketers, market research professionals and academics whose work is primarily focused on obtaining deep insights by understanding the online consumers. My talk was titled'Decoding Ratings for superior service in restaurants – Using text to understand customers'. The focus was quite simple – convince and demonstrate how to read and understand customers from their reviews, not ratings. Our product, Lunchbox, a complete restaurant management solution was showcased as well.

Using code KDNUGGETS to save - early reg by May 31.