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by Steven Rogers | Digital Marketing
Whether it is sentiment analysis, simplified access to data and customer-focused solutions using Chatbots and virtual assistants, natural language processing has got you covered.
Have you watched the terminator? How astounding is it when a person speaks to a robot? Just imagine having that in real life, and that is natural language processing, except the terminator is way too fictional for us right now.
Either verbal or written words, a person's behavior can be predicted. The chosen topic, tone, word selection everything adds information that can be interpreted and value extracted from it. But there is a problem; every sentence is different from its complexities. This is where NLP comes in. NLP enables automatic handling of natural human languages; it can be speech or text.
The history of machine translation dates back to the 17th century and still on the go as we are more digitally transforming. Google recently launched “BERT” [Bidirectional Encoder Representations from Transformers], which involves NPL. It was to enable the search engine to understand more of humans' natural language. Natural Language Processing is a branch of Artificial Intelligence that can help computers interpret and manipulate human language.
How is your business going to conclude without the optimization of unstructured data? This is when natural language processing can swoop in. It is long gone when understanding customers or potential customers was only through the accurate information we find. Now is when even the minute data lying around turns out to be a key source. This source can turn into a beneficial tool in the long run. Through natural language processing, anyone with the least efforts can draw meaningful conclusions, even with unstructured data. This is a feature that not many offer. Whether it is sentiment analysis, simplified access to data and customer-focused solutions using Chatbots and virtual assistants, natural language processing has got you covered. How are you going to Use Natural Language Processing in your Business? 1. Social Media Sentiment Analysis Data available on social media is immense, and without a doubt, every business maintains a social media strategy in 2021. Social media is crucial for brands to analyze the behavior of the audience and that becomes vital for the brand to persuade the target audience. The information available on Twitter, Facebook, YouTube, blogs, and discussion forms can make it possible to acquire information. It is not only useful for demographic information or tracking trends. Social media is a great place to capture the sentiments of users. Online sentiment dictators can assess positive and negative in text too. Even more advanced Natural Language Processing techniques can even recognize autism, Parkinson's disease, and medical conditions. All of it can merely be recognized through the speakers' words. It is a great way for you to read between the lines. 2. Customer Service Chatbots can add to your customer support by answering questions and requests. It can enhance the quality of your customer service. Your agents can be free to focus on the more complex needs of the customers. Chatbots have Natural Language Processing that can recognize what the customer is saying and provide them with the right solution. NLP allows businesses to analyze qualitative & quantitative data from customer feedbacks. It can also extract information from elsewhere, and layout common trends for the sales team to follow. 3. Information Extraction Using Natural Language Processing can enable your business to gather and collate relevant information. Information is also part of sentiment analysis, as mentioned before. But through this process, you can discover meaningful information trends and patterns in unstructured texts. Sentiment analysis is most common & useful in cases such as customer surveys, reviews, and social media comments where users express their honest opinions and feedback. The Challenge in Natural Language Processing Well, it is a known fact that Artificial Intelligence is the most prominent feature in marketing, especially the role it plays in B2B Marketing. The fact is, though many businesses have adopted Artificial Intelligence as their key strategy, many aren’t sure about adopting Natural Language Processing. This is why there are many who aren’t sure About Adopting Natural Language Processing: Natural Language Processing is still at its maturing stage. Well, speech recognition is the most challenging task to recognize. Humans tend to speak imperfectly. They sometimes disregard grammar or mumble and run words into each other. The future of Natural Language Processing is somehow promising, even though the intended meanings can be difficult to infer. Natural Language Processing is a machine trying to learn a human's contextual awareness. The only challenge that stands in the way is, at times, the interpretation could be false and may cripple our efforts to communicate with machines. This scenario is not static, as Natural Language Processing is still developing every day. Benefits of Natural Language Processing:
Conclusion NLP is a core piece of machine learning you should use in your customer service departments. Programs are now capable of understanding human conversation by calculating the probability of specific results. Natural Language Processing is expanding in the industry, with more businesses leveraging it. Hidden insights and unstructured data aren’t left unread anymore. Technology advancement is enabling that turn to information that can be ceased. The potential for businesses Natural Language Processing is gaining enormous traction. Get ready to implement Natural Language Processing to stay on top of the market.
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