{"id":4593,"date":"2017-06-21T08:08:25","date_gmt":"2017-06-21T02:38:25","guid":{"rendered":"http:\/\/www.allerin.com\/blog\/?p=4593"},"modified":"2017-06-18T11:34:32","modified_gmt":"2017-06-18T06:04:32","slug":"ai-for-text-analytics-and-nlp","status":"publish","type":"post","link":"https:\/\/www.allerin.com\/blog\/ai-for-text-analytics-and-nlp\/","title":{"rendered":"AI for text analytics and NLP"},"content":{"rendered":"

\"\"<\/a><\/p>\n

Text analytics and NLP hold the key to unlocking the business value within these huge data sets. NLP is concerned with making natural language accessible to machines, while text analytics refers to the extraction of useful information from text sources.<\/p>\n

<\/h6>\n

Today, text analytics and NLP are gradually transforming into a field extremely useful for various business applications, such as competitive analysis, and improving the quality of machine intelligence systems. A right platform and AI implementation can enable businesses to fully utilize their data lake and take advantage of the latest text analytics and NLP algorithms.<\/p>\n

AI in Text Analytics<\/h1>\n

Text analytics can be invaluable for anyone facing profound information overload. Implementing artificial intelligence<\/a> in text analytics can lead to development of the following applications.<\/p>\n

\"\"<\/a><\/p>\n

<\/h6>\n

Competitive Intelligence<\/strong><\/p>\n

<\/h6>\n

Some companies are required to organize and modify their strategies according to market demands and opportunities that are available. Due to this, companies acquire, manage, and analyze an enormous amount of data to keep themselves relevant in the market. The process of manually compiling documents according to a business and customer\u2019s needs and preferences into reports is very labor intensive, and this problem is further intensified when it needs to be updated frequently. With competitive Intelligence, users are able to select only relevant information by the automatic reading of this data. Once the material has been collected, it is automatically classified into the relevant categories, and subsequently analyzed to get answers for a specific business problem or for formulating a crucial strategy.<\/p>\n

<\/h6>\n

Human Resource Management<\/strong><\/p>\n

<\/h6>\n

Text analytics techniques combined with AI are also used to manage human resources, mainly applications that aim at analyzing staff\u2019s opinions, monitoring the level of employee satisfaction, as well as storing and reading CVs for the selection of new personnel.<\/p>\n

<\/h6>\n

Market Analysis<\/strong><\/p>\n

<\/h6>\n

Text analytics with AI can also be used for analyzing competitors or monitoring customers\u2019 opinions, identifying new potential customers, along with determining the companies\u2019 image through the analysis of press reviews and other relevant sources. Organizations today are increasingly looking to apply this technique to derive useful operational and business insights for improving their market prospects.<\/p>\n

AI for NLP<\/h1>\n

NLP plays an important role in enhancing AI systems. Without NLP, artificial intelligence can only understand the meaning of language and answer simple questions, but it won\u2019t be able to know the meaning of the words. Thus, NLP in AI allows users to communicate with a computer in their natural language. Let\u2019s take a look at some examples of natural language processing systems in artificial intelligence that are already at work.<\/p>\n

\"\"<\/a><\/p>\n

<\/h6>\n

Communication<\/strong><\/p>\n

<\/h6>\n

Several communication applications such Facebook Messenger are already using artificial intelligence. For example, a few months ago, Facebook introduced its M service that promises to become your personal assistant. Another interesting application of NLP is Skype Translator that offers on-the-fly translation for interpreting live speech in real time.<\/p>\n

<\/h6>\n

Diagnosis<\/strong><\/p>\n

<\/h6>\n

NLP systems can be also used in hospitals; natural language processing systems can be used for indicating a specific diagnosis from a physician\u2019s unstructured notes. For example, NLP software can be used for mammographic imaging and analysis of data for clinical decisions.<\/p>\n

<\/h6>\n

Customer Review<\/strong><\/p>\n

<\/h6>\n

Natural language processing in AI applications makes it easy to collect product reviews from a website. This helps in understanding the actual sentiments of the customer. Companies that gather a large volume of reviews can actually understand these sentiments and use this information to recommend new products or services.<\/p>\n

<\/h6>\n

The benefits of natural language processing and text analytics are innumerable. Natural language processing and text analytics can be leveraged by companies for improving the efficiency of documentation processes and identifying the most pertinent information from large databases. Moreover, these technologies can allow your company in harnessing the complete power of AI.<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Text analytics and NLP hold the key to unlocking the business value within these huge data sets. NLP is concerned with making natural language accessible to machines, while text analytics…<\/p>\n","protected":false},"author":1,"featured_media":4779,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[5,125],"tags":[364],"class_list":["post-4593","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-iot","tag-ai-for-nlp"],"yoast_head":"\nAI for text analytics and NLP | Artificial Intelligence | NLP |<\/title>\n<meta name=\"description\" content=\"Companies are now relying on technologies like text analytics and Natural Language Processing (NLP) for making sense of such massively collected data.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.allerin.com\/blog\/ai-for-text-analytics-and-nlp\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI for text analytics and NLP\" \/>\n<meta property=\"og:description\" content=\"Text analytics and NLP hold the key to unlocking the business value within these huge data sets. 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