Named Entity Recognition (NER) is a field of computer science and natural language processing that deals with the identification and classification of named entities in text. The aim is to automatically extract information from unstructured text such as people's names, of organizations, locations, and so on.
Customer service is one area where artificial intelligence (AI) can be utilized to the utmost. Businesses that value customer service should integrate AI into their strategies to make customer service better. Tools like these can be found online and can be used to facilitate customer interaction while the buyers browse websites, make purchases, and communicate with businesses via social media platforms.
Machine Learning Solutions for Cold Start Problem in Recommender Systems Study the past to know the future – Confucius. While building product recommenders, the cold start is one of the biggest challenges that developers face, in addition to others such as data scarcity,
Using Machine Learning To Grow Customer Lifetime Value (1 of 2) In today’s customer-centric market, it’s very important to get to know a customer’s lifetime value (CLV). Customer Lifetime Value helps businesses concentrate their activities around their most “profita
Analyzing data in order to find patterns and apply these findings to business goals is the most general definition of data analytics. In the past few years, the flow of data into enterprises has grown exponentially, making it difficult to analyze data using traditional statistical methods. Data analytics can now overcome this hurdle by incorporating machine learning, an aspect of artificial intelligence. By building efficient algorithms, machine learning automates the process of data analysis, revealing hidden patterns and insights.
Sarcasm Sentiment Analysis: AI Model to Detect Sarcasm in Social Media What is Sarcasm Sentiment Analysis (sarcastic sentiment detection)? Sentiment analysis of social media means just that – to use data to understand what people feel or think about your product, servic
The Emergence Of Commercial Artificial Intelligence in Business Intelligence Even as global businesses continue to embrace big data and data analytics, the challenge many faces is: how to derive the most value from the big data. The latter refers to very large sets of da
Dealing With Outliers In Data using Machine Learning No matter how careful you are during data collection, every data scientist has felt the frustration of finding outliers. An outlier is a data point that is noticeably different from the rest. They represent errors in me
In the first post on this topic, we defined customer lifetime value (CLV) and learned about customer lifetime value models. How to use machine learning in predictive CLV models (Customer Lifetime Value Prediction Model). In this post, we’ll learn how machine learning
