![]() The publication experimented with multiple ML algorithms, dataset and configurations and found that the best political bias predictor is a model that leveraged Google’s BERT transformer architecture. What’s your political bias? Source: thebipartisanpress In fact, the platform removed 9.6 million pieces of content flagged as hate speech in the first quarter of 2020 alone. The AI flagged posts are reviewed in the same way as posts reported by users. Defining and detecting hate speech is one of the biggest political and technical challenges for Facebook and similar platforms.įacebook addresses this problem by having human experts review posts detected automatically using an AI text classifier. Among this negative content is hate speech. Analyzing this unstructured data manually would take far too long for humans, but GAIL can parse this data in seconds and determine whether the author is a net promoter, detractor, or neutral party.įacebook-with nearly 1.7 billion daily active users-naturally has content posted on the platform that violates its rules. GAIL was trained using over 67,000 reviews and has an accuracy of 95 percent. For example, by analyzing comments by detractors, Great Wolf Lodge, would know areas in their service that need improvement. Through this effort, the company hopes to better understand its guests and improve the customer experience. GAIL essentially “reads” the comments and generates an opinion.Ī net promoter score can be used to identify detractors, promoters, or passives (neutral party). This analogous to predicting if the customer sentiment is positive, negative, or neutral. Instead of using an NPS score to determine customer satisfaction, GAIL determines if customers are a net promoter, detractor, or neutral party based on the free-text responses posted in monthly customer surveys. GWL capitalizes on the concept of net promoter score (NPS) to gauge the experience of individual customers. They developed what they call the Great Wolf Lodge’s Artificial Intelligence Lexicographer (GAIL). ![]() Great Wolf Lodge (GWL), a chain of resorts and indoor water parks, has expanded its broad digital strategy by using AI to classify customer comments based on sentiment. Moreover, these new email classification algorithms are able to identify patterns over time based on what individual Gmail users consider spam themselves.Ģ. Google was able to train new ML algorithms to block an additional 100 million spam messages every day. That’s why Google recently decided to upgrade its Gmail filters using the company’s own machine learning platform called TensorFlow.
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