InfoNgen® is an enterprise-grade text analytics, sentiment analysis and enterprise search tool designed to help you filter the signal from the noise.
Sentiment AnalysisAnalyze sentiment of raw text. This capability returns a sentiment score between 0 and 1, where a score of 0 corresponds to negative sentiment and a score of 1 corresponds to positive sentiment. In addition, a score of 0.5 corresponds to neutral sentiment....
The Text Analytics API can infer insights, such as the language of the text, key phrases being discussed and the sentiment expressed in the text. The Linguistic Analysis API, in contrast, enables the understanding of linguistic concepts and actions in free-form text. It performs part-of-speech...
Free version available Paid plan starts at $99/month 5. MonkeyLearn MonkeyLearn is a machine learning tool that provides businesses with pre-defined text analysis models and customizable classifiers and extractors for sentiment analysis, keyword extraction, intent analysis & classification, and language...
Free Trial:It is free to use. Ratings:The users give an average rating of 5. #4) Google Cloud NLP Best forreal time analysis of insights from the unstructured data. For syntax analysis, content classification, entity extraction, and sentiment analysis, the Google Cloud natural language processi...
Text2data's real-time Sentiment Analysis API enables you to analyze sentiment of any text based content through a scalable and secure RESTful API service. Our analysis is based on Natural Language Processing (NLP) engine that can be easily extended with user-specific custom model classifiers. ...
Sentiment analysis— this technique helps identify the underlying sentiment (say positive, neutral, and/or negative) of text responses Topic detection/categorization — this technique is the grouping or bucketing of similar themes that can be relevant for the business & the industry (eg. ‘Food qu...
The data analysis can include determining sign of the extracted sentiment, aggregate function of the text data, analyzing social mood, and classifying the text data.Yang, David YevgenievichTyurin, Anton YevgenievichMikhaylov, Maksim Borisovich
have the sentiment score calculated and displayed to the agent, give a visualization of positive or negative sentiment via an updating image, and raise an event in USD to allow automation of actions. The control we create is shown in the image below, showing the sentiment expressed...
Sentiment Analysis (32) Smart Cities (1) Social Media (13) Social TV (2) Text Analytics (40) Text Proofreading (4) Tourism (1) Tutorials (16) Vertical Packs (15) Voice of the Citizen (3) Voice of the Customer (VoC) (33) Voice of the Employee (11) Voice of the Patient (11) ...