IBM Watson is a multi-cloud platform that offers

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IBM Watson has a comprehensive approach to text analysis, flexible enough to meet the needs of any client, regardless of the industry or field in which they operate.Pricing: Includes a free plan. Premium plans depend on the number of forecasts needed.LexalyticsLexalytics tool for sentiment analysisLexalytics is a tool that focuses on customer sentiment. It also uses NLP to process texts (breaking them into sentences to evaluate elements such as semantics and syntax) and then performs emotion analysis to evaluate the feelings and moods that "hide" behind the words of the people clients . Once the sentiment analysis is finished, the tool provides a series of easily interpretable visual results.



You can customize the tool in several ways, although this option Special Data is aimed at data scientists and other industry specialists.Prices: Variable. With the demo you can test the service for free.MeaningCloudMeaningCloud tool for sentiment analysisMeaningCloud allows you to perform multilingual sentiment analysis using APIs. This online tool performs aspect-based sentiment analysis to decide whether texts are positive, negative or neutral. It can also detect irony based on a dictionary that includes any specific vocabulary used in narrow fields.Some of MeaningCloud's best features are identifying global sentiment (an overall view of what the customer expressed in a given text), identifying opinion versus fact, and identifying sentiment within each sentence of a text.Pricing: Includes a free plan. Reward plans start at $100 per month.RosettesRosette tool for sentiment analysis.




Rosette is an API that uses AI (artificial intelligence) to analyze natural language. It was first used to perform sentiment analysis on social media, but then found its natural evolution in the analysis of entire documents and individual entities mentioned in the text, for example the sentiment expressed by customers when they mention a product, a company or brand or a specific person. Rosette is able to identify parts of speech through morphological analysis and lemmatization (the grouping of inflected word forms so that they are not analyzed separately), identifying sentiments in up to 30 different languages.