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The social media is a great way to introduce a brand to all people. A lot of people use social media platforms to share their stories, opinions, and things that they want other people to know. It is one of the greatest technology ever invented because without it, people who live far from one another will not be able to connect and interact with each other. Social media provides an avenue for people who share the same interests talk passionately about the things they want to talk to, which is one thing face to face conversations do not really look like. Also, platforms like these allow people to be informed of the latest news, updates, and other relevant information they need to know. It keeps people entertained. Aside from messaging services, this kind of modern media involves games for recreation, and also music, videos, and articles that can keep people entertained without having to go out and cost too much. Aside from that, social media has also been penetrated by many business marketing areas because of its wide scope of people that it caters. Through social media, businesses are able to advertise their products so that people may know of them. Also through social media, businesses can be able to monitor how people perceive their products. This is done to analyze twitter sentiments. By using computer languages, software engineers are able to determine whether a tweet by one individual elicits a positive or negative response. To analyze twitter sentiments, computer engineers use natural language processing social media to be able to determine how it is considered to be a good or bad response. This kind of processing determines the subjectivity, polarity, and emotional aspects of a certain phrase or sentences. Doing sentiment analysis can be tough especially in Twitter because a tweet usually contains hashtags, jargons, slangs, and emoticons but through the computer language tools it will be possible to know the responses of people because of this kind of technology. By using natural language processing social media, it can analyze language patterns and tones that can be translated to as a positive, negative, or neutral response. In this way, businesses can detect who are the happy customers and maintain the products that make them happy, detect unhappy customers which they can talk to and ask what can be wrong so in the future they can be able to correct their mistakes in the product, and also detect those customers who have neutral response, so that they can improve their products and services. Through the use of this language processing social media, business can be able to take action on things that they may have overseen. They will be able to know whether they should their products, services, marketing team, public relations, and any other aspect of their company. This natural language processing social media will surely be an advantage to business owners because they will get to determine what their customers and supposedly target markets of what they have to say about their products and services. It will help them to prepare and develop strategies that will help them in the future. It is a great advantage in the technology because it is a faster way to know whether the message you want to be delivered as a producer is being taken by the consumers. By using Natural Language Processing Social Media , it can analyze language patterns and tones that can be translated to as a positive, negative, or neutral response. This is done to analyze twitter sentiment . By using computer languages, software engineers are able to determine whether a tweet by one individual elicits a positive or negative response.
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