The top priority in government intelligence is identifying threats or people of interest that should be added to watchlists — but dealing with the growing amount of data and the constant churn in the analyst community, it has become nearly impossible to maintain high levels of accuracy and speed. Every 18 months, new analysts come […]
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.
What about Farsi, Dari, and Tajik? The modern Persian language has a lengthy history, with spoken roots going back 4,000-5,000 years. Since then, the language has evolved enormously in response to geopolitical events, technological advancements, and cultural blending to create the language spoken by 110 million people today. Rosette 1.10.1 recently added Persian sentiment analysis […]
Political and linguistic challenges to accessing Persian data Persian sentiment analysis debuted in Rosette 1.10.1. This new feature joins Rosette’s array of Persian text analytics for base linguistics, entity extraction, as well as name matching and translation. This release means Rosette offers the most comprehensive coverage of Persian text analytics on the market. Why do […]
Match and translate Greek names • Extract sentiment from Persian text Rosette text analytics enables users to extract value from unstructured text. All of our capabilities are engineered with a multilingual architecture that enables expansion to any language. By processing text in the native language, Rosette delivers higher accuracy than solutions that rely on machine […]
Rosette Cloud 1.9 is out, delivering a new language for name matching, translation, and deduplication: Thai. We’ve also added a new deep neural network model for sentiment analysis, entity extraction offsets, salience scores for topic extraction, and more. Learn more below, or jump to the release notes. Name Matching The /name-similarity, /name-translation, and /name-deduplication endpoints […]
We’re excited to announce we released Rosette Cloud 1.8, including a new /topics endpoint. The topic extraction endpoint returns key phrases extracted from the input text, as well as general concepts that may not be explicitly mentioned. /topics can be used to tag and sort a large corpus of documents, so you can automatically filter […]
New text analytics plugin painlessly delivers rich, faceted search An API key and a line of code is all it takes to speed your research, enhance voice of the customer systems, automate content recommendations and more. Rosette API for Elasticsearch We launched Rosette API last year to put text analytics in more hands. Through the […]
Great news! Yesterday we released Rosette API v. 1.7. We added support for Arabic sentiment analysis (beta), confidence scores for all extracted entities, pronominal resolution in targeted relationship extraction, and a new /transliteration endpoint for transforming romanized Arabic chat text (“Arabizi”) to standard Arabic script. We also introduced specialized linguistic analysis for emojis, emoticons, hashtags, […]
Analyzing English and French tweets during the election weekend using Rapidminer and Rosette After the surprising results of the U.S. presidential election and the UK “Brexit” vote, many expected another populist upset in France’s recent election. As we now know, Emmanuel Macron of En Marche! defeated populist candidate Marine Le Pen of the National Front. […]