Artificial Intelligence (AI) is the key to spot and extract important information from online text data, whatever resource you can scour. It is a useful tool to extract relevant words and phrases from text, image and even audio messages. Word Extractor API can spot the most representative words in a set text, recognize names of people, places and companies, summarize a given text and pick up text directly from image, unstructured texts, audios, etc.
Text classification reads text for meaning and assigns tags on the basis of content, so as to group texts by topic, sentiment, language and the like. The result goes beyond the literal message and it allows to predict according to previous samples. Text extraction, instead, identifies important information in texts and images, and trains models to index pre-defined entities; i.e. classifiers categorize information while extractors identify entities.
Relevant Word Extractor API uses Machine Learning (ML) to aid businesses to scan documents and online insights automatically. Performing this task manually is time and resource consuming! ML and AI complement to perform text analysis to detect judgement in comments and surveys, in a fast way and with high precision.
Relevant Word Extractor API is trained and tailored to the client`s expectations, namely to find words in support tickets, topics most frequently mentioned in tweets, and information from product descriptions. This platform offers a number of AI solutions so as to improve productivity, overcome obstacles and optimize customer services.
Relevant Word Extractor API draws those keywords and phrases from a set text that are meaningful to help skim it for viewpoints that are representative of the intention in the text. It works by training AI models at your request, and this allows to understand the sentiment and opinion in insights without the need to read it through. This would be impossible without the software that performs the task automatically.
Relevant Word Extractor API will spot and index names, organizations, locations, values, etc., in unstructured texts. AI algorithms identify these entities and then categorize them as requested. You can even obtain several entities from a text to generate multiple fields of classified words and phrases. Zyla Labs´ API can build up databases and furnish feedback for the user; it can also scour contents to identify important information to provide suggestions through customer data analysis.
This API complements with Wordsfinder Extractor API, Relevant Expressions Extractor API, Keyword Extractor API and Key Chunk Extractor API, to render a useful suite to make the most of your exploration of consumers` judgement. All of them use Natural Language Processing (NLP) technology and statistical algorithms that grasp the gist of text data. They provide pre-trained models to satisfy your needs and purpose.
The user is expected to import text data, select data to train your model, define the necessary tags, put your model to the test, and make it work for you. You must create tags to classify the output (e.g. aspect, quality, train extractor). ML will tag and select the right words, and the model will predict judgement. If you do not obtain the expected result, you optimize your training with more specific data. You just paste a text and your model will detect and spot the various features. It is applicable also for several segments of data.
The user cannot miss this tool to analyze data and help your business grow in the era of AI. Relevant Word Extractor API will allow your staff to focus only on relevant data to increase efficiency. The ultimate benefit is that of making your organization move forward and grow in efficiency, productivity and revenue.