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\r\n\r\n\r\n\r\nCan AI determine emotional tone? Yes. That\u2019s why sentiment analysis is also known as opinion mining or emotion AI.<\/p><\/blockquote>\r\n\r\n\r\n\r\n
Why Sentiment Analysis is important<\/h2>\r\n\r\n\r\n\r\n
NLP and machine learning techniques in sentiment analysis is basically technology that processes natural language (natural language processing) using artificial intelligence algorithms to recognize patterns and read between the lines.<\/p>\r\n\r\n\r\n\r\n
The reason more and more companies are including it into their business strategy is because it is like having an omniscient being updating you on what your customers or potential customers are talking about in relation to your product or market. It can go a step further by telling you why they are saying it. This can help you improve your products, services or even find inspiration for new products that have a market out there.<\/p>\r\n\r\n\r\n\r\n
There are many tools available for text and sentiment analysis<\/a>. The challenge is to customize them for your specific business needs. Our team at iTech stays up to date with the latest NLP models and trains them on specific datasets according to the customer requirements.<\/p>\r\n\r\n\r\n\r\n <\/a><\/p>\r\n\r\n\r\n\r\nAlso read:<\/strong> How Businesses Use Machine Learning to Improve Processes<\/a>\r\n\r\n\r\n\r\n Today artificial intelligence algorithms gift you the ability to harness the power of opinions made public on social media. Here are the different ways organizations are using NLP with sentiment analysis<\/p>\r\n\r\n\r\n\r\n You need to track the web or social media for online conversations about your company or product, whether it is a rave review or a negative tweet. When a customer mentions your company or brand name, it is an opportunity to understand their sentiment towards your brand and your products. The magnitude of the exercise which involves sieving through billions of posts on multiple channels can be overwhelming \u2013 Sentiment Analysis makes it possible with a high accuracy level.<\/p>\r\n\r\n\r\n\r\n Take the case of KFC <\/strong>which was left behind by its competitors when healthy food and nutrition values took over the food industry. Instead of tagging along, KFC chose to strike out on its own using memes and pop culture iconography as its USP. This led to consumers engaging with the brand and their products. KFC was thus able to carve a niche for itself and grow its market share.<\/p>\r\n\r\n\r\n\r\n If you are a company launching a new product or launching a product in a new market, you can benefit from text sentiment analysis to figure out how your product is perceived, soon after the launch. This will help you get rid of any teething problems with the product before proceeding any further and save you a considerable amount of time and money.<\/p>\r\n\r\n\r\n\r\n When the screeching violin of an\u00a0Expedia Canada commercial<\/strong>\u00a0featuring a man looking at snow, scarves and parkas got bad reactions on social media, the company turned the tide with a campaign that featured the violin being smashed, which was well received \u2013 Sentiment analysis showed the change.<\/p>\r\n\r\n\r\n\r\nAlso Read:<\/strong> 5 Ways Automation Is Improving Customer Experience<\/a>\r\n\r\n\r\n\r\n Watch out for your direct competitors and see how your products or marketing campaigns measure up against theirs.<\/p>\r\n\r\n\r\n\r\n Titans like Apple Inc.<\/strong> use sentiment analysis to zero in on common complaints about the products and technology of its rivals and then build an advertising campaign emphasizing how the iPhone does not suffer from such complaints. For instance, if there is considerable negative sentiment on the design of a new Samsung phone, Apple responds with a marketing blitz that focuses on iPhone\u2019s streamlined layout.<\/p>\r\n\r\n\r\n\r\n Listening is the most potent form of cognisance and it\u2019s your way of saying to your customer \u201cI hear you and your views are important to me\u201d. You need to both hear the words and identify the feelings associated with the words.<\/p><\/blockquote>\r\n\r\n\r\n\r\n 25% of customers are likely to avoid a product or brand after a bad customer service experience<\/strong>. Their bad experience put out there in social media can cause a lot of negative publicity for you. Using NLP sentiment analysis, you can equip your customer service team to be prepared to deal with negative criticism of your product or brand.<\/p>\r\n\r\n\r\n\r\n 77% of Twitter users<\/strong> are likely to be more positive about a brand when they get a response to their tweet<\/strong>. By mining sentiments about your product, your team can even hone their marketing strategy to drive sales and improve your bottom line. So, mining opinions provide actionable insights for your business.<\/p>\r\n\r\n\r\n\r\n If you identify satisfied customers through NLP sentiment analysis, you have a ready market for your sales team to transform single product buyers to multi-product buyers. Such customers are more likely to be amenable to cross selling. Conversely, your marketing team is forewarned not to approach dissatisfied customers who are likely to be irritated by sales pitches.<\/p>\r\n\r\n\r\n\r\n An apt example of how sentiment analysis helps in product improvement would be how Google\u2019s Chrome development team<\/strong> constantly monitors user feedback to pick out positive or negative sentiment and mention of features of the product such as security or scalability or even recommendations about the product. So they get a deeper perspective on the product which definitely helps in R & D.<\/p>\r\n\r\n\r\n\r\n![\"\"](\"https:\/\/itechindia.co\/us\/wp-content\/uploads\/2021\/11\/Leveraging.jpeg\")
<\/figure>\r\n\r\n\r\n\r\nLeveraging sentiment analysis using NLP to grow your business(h2)<\/h2>\r\n\r\n\r\n\r\n
1. Trawling through social media for brand mentions<\/h3>\r\n\r\n\r\n\r\n
Twitter Sentiment Analysis \u2013 The Facts<\/h3>\r\n\r\n\r\n\r\n
2. Testing the waters for product launches<\/h3>\r\n\r\n\r\n\r\n
3. Being one step ahead of your business rivals<\/h3>\r\n\r\n\r\n\r\n
4. Mastering the art of listening<\/h3>\r\n\r\n\r\n\r\n
5. Satisfied customers are loyal customers<\/h3>\r\n\r\n\r\n\r\n
6. Tailoring products for the end user<\/h3>\r\n\r\n\r\n\r\n