Top 8 Natural Language Processing Techniques

Artificial intelligence (AI) encompasses multiple types of machine learning approaches, including computer vision, natural language processing (NLP), audio intelligence, and so on. As the name suggests, NLP is the branch of AI that centers on language and teaching computers how to understand and use it in a natural, human-like manner.

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Top 5 Sentiment Analysis Example

The term sentiment analysis is quite popular. But most people do not really notice how important it is for a company’s success. Sentiment analysis provides an insight into all the problems that your company may be facing. It is like being able to listen to all the conversations that your customers are having about your product. It helps you understand how your brand is being perceived and work towards improving its image based on those insights.

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How to Build a Twitter Sentiment Analysis Tool using Skyl.ai

Hundreds of millions of people willingly spew their opinions in under 280 characters per post and 6,000 times per second. Sentiment analysis on social media platforms such as Twitter is a very effective way for analysts to gauge consumer reactions to products and services. The use of machine learning is necessary to properly gather consumer reactions. Individuals sifting through tweets ranging from “Where the Buffalo Wild Things Are” to firey, researched political statements can easily get in the noise and twitter void, especially if a business just wants to gauge the attitude towards a particular product or service.

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Learn About State of the Art Sentiment Analysis Algorithms

Introduction to Sentiment Analysis

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Text Analysis Using Machine Learning

In this article, we will see how to use machine learning for Text Analysis. Natural language processing is a branch of AI and machine learning that aims at extracting meaning out of text by using machine learning algorithms.

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Top 4 Natural Language Processing Applications for Businesses

Natural Language Processing (NLP) has become more than an emerging technology. It has multiple applications in businesses today and is being widely used in various industries. NLP tools understand the meaning and context of phrases and provides automated support. They can be incorporated in any feature involving language, including online search, extract meaning, generate text, summarize a long document, or detect spam email.

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Machine Learning in Social Media - 4 Use Cases

Social media marketing is now crucial for businesses to remain competitive. Facebook and Twitter allow companies to spread the word about upcoming products or events and provide customer support on their platform. Instagram can be used to showcase products to over 500 million people active on the app at least once a day. Customer support on social media is preferred by about 63% of people, as compared to phone or email. Due to these platforms, businesses can engage with customers and maintain a relationship with influencers. They educate companies on how customers feel when they buy their product, ways in which they’re using them, and helps generate ideas on new business opportunities.

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Top 10 Applications of Machine Learning in E-commerce

E-commerce has grown by leaps and bounds in the past 10 years. More an more people are shifting to online buying since it is much easier and cost effective. Here is a look at Amazon.com's traffic which is clocking around 2.22 billion users per month.

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10 Powerful Machine Learning Applications in Marketing

Machine learning Artificial intelligence and machine learning have been pivotal in optimizing multiple areas in the past few years. Marketing is one such area which has had great help from AI technologies.

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