Keyword extraction is an analysis approach to extract the most relevant and most frequently used words and phrases from an unstructured text. It is useful to summarize some given written material and to identify the core subjects within the text. The sources of text data are social network sites, official and private documents, news, reports, forums, blogs, etc.
By means of keyword extraction you can spot the fundamental words and phrases in datasets and obtain valuable information of what your consumers are concerned about, namely price reduction, quality, customer service, and more. No matter how big or small your organization is, a Keyword Extraction API or Keyword Extractor API, is a precious tool to identify words that will enable you to focus on search engine optimization or else on auto-tagging the referred page. In other words, Text Analytics API.
This API will extract the key words, phrases and segments that constitute the most important information of the document because it pulses opinion, sentiment and emotions. The glossary and terminology will vary depending on the topic and field of activity, but the function does not vary, which is to characterize the issue dealt with in the text. Keyword extraction involves Information Retrieval and Natural Language Processing (NLP) sentiment analysis. Consumers opinion and Sentiment analysis, which altogether aid in determining what the public like, what demands they make, and what they think about your competitors.
If you aim is to originate a word cloud or to obtain relevant customers` judgement -by means of Relevant Expressions Extractor API-, it does not require mastery of NLP to pulse what people are saying about your products or services. Keyword Extraction API (Keyword Extractor API) is the solution: a dynamic and accurate tool that will allow you to concentrate on your main value scheme.
Zyla Labs´ Keyword Extraction API can gauge consumers´ opinion, sentiment and emotions on the social media, and extract keywords that will serve a purpose to scan features or areas of relevance so as to invest and improve. By obtaining immediate judgement from on-line reviews you will be able to define roadmaps centered on users and products. Relevant Expressions Extractor API complements the functionality. If you are interested in auto-tagging internal documents, this API highlights quick responses that represent the relevant data. Doing this task manually would be hard and time consuming, instead with auto-tagging you can concentrate on relevant services.
As the other Keyword Extraction APIs BytesViews´s tool analyzes segments of unstructured text from all communication vectors: emails, surveys, posts in social media sites, and the like. You define tags and the API spots content about a topic, customers` opinion, business intelligence and recurring views.
Cortical.io is another API that provides the means to spot, extract and analyze keywords from unstructured text. There is no demand of knowledge to carry out this analysis, as it works with specific vocabulary of your field of activity.
This API is an appropriate tool for text data analysis from documents and web text data. By entering an URL you will then use results to expand your keywords list, examine customers` views on your competitors, or carry out further research on terms of your interest or need.
MonkeyLearn is another SaaS tool that allows keyword extraction from any source in an easy and practical way. You can generate your own word lists and segments and apply its previously tested models. It is useful for listing data and building tag clouds in shorter time.
It is your choice to cast light on your business. Automation, immediateness, accuracy, in gauging what your customers think of you and your competitors, to make the relevant decisions so as to improve productivity and optimize services.