Spotlight on our Data Scientist Challenge Winner from the Rosette API Academic Program This winter, Basis Technology held a Data Scientist Challenge to encourage students in the Rosette API Academic Program to use both Rosette API and Rapidminer Studio in the data analytics project of their choice. The aim was to showcase how easy it can be […]
Sentiment analysis, or opinion mining, is an NLP task that automates the recognition and understanding of the attitudes and opinions expressed in a human-generated text. It evaluates the subjective attitude of a given text as positive, negative, or neutral. Sentiment analysis can be used to turn unstructured text such as customer reviews, social media posts, news articles into structured opinions for in-depth analysis and visualization.
Rosette can analyze the sentiment in different languages at the document or entity level. It returns a sentiment label along with a confidence score between 0 and 1.
You can find our recent articles about sentiment analysis on this page.
Latest 1.5 API release renews commitment to global data analytics We kicked off 2017 with some major updates to Rosette API (version 1.5). There are lots of new features to play with, so we’re breaking down the key updates in a series of blog posts to share with our awesome users. One common thread among […]
Rosette API with RapidMiner investigates Twitterverse sentiment surrounding Super Bowl LI As a Boston area company, you can imagine how proud and excited our staff was at the end of Super Bowl LI on Sunday night! Despite tough competition, the New England Patriots did their job, so today we do ours: helping you extract meaningful […]
Or, How are you feeling? Kon’nichiwa, dear readers! The Rosette development team is thrilled to bring you our beta launch of Japanese sentiment analysis in Rosette API 1.5! Sentiment analysis 101 Sentiment analysis is the automation of recognizing and scoring attitudes, opinions, and emotions in unstructured text. It allows you to quickly determine whether an […]
Today we’re pleased to announce the launch of Rosette API version 1.5! Updates include new targeted relationship extraction (replacing the previous “open” relationship extraction), changes to entity linking and extraction, improved text embeddings, and expanded support for Chinese, Japanese, Korean, and Vietnamese, including sentiment analysis for Japanese text (beta). What’s new? Targeted Relationships The […]
Rosette brings the text analytics power to news data startup, Zetta Cloud The US presidential election has made it clear that fake news is spreading across the internet like a virus. While shared knowledge is one of the many perks of our increasingly connected online society, it also has a darker side: the opportunity for […]
But wait, what is NLP again? Explaining NLP (natural language processing), text mining, data extraction and text analysis to people outside the industry can be a challenge. While everyone expects fast, accurate and reliable search results, few understand the work and the tools behind them. NLP is to search what an engine is to a […]
2016 has been called the most contentious presidential campaign in US history. Is it? Rosette takes the sentiment temperature on Twitter to find out. Fervor on social media is peaking as both candidates’ approval ratings are at record breaking lows. If you’re active on any major social network, you’ve seen the surge of heated political […]
What are people saying about Hurricane Matthew? English tweets only give you 60% of the picture. As the winds of Hurricane Matthew march up the Florida coast, real-time social media monitoring is the only reporting that matches it for speed. Armed with the power of smartphones, the public has increasingly become the front line of […]