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Tag: Sentiment Analysis

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 Does It Mean to Support “Persian” Text Analytics

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 […]

The Difficulty of 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 […]

Eight Languages Added to Rosette 1.10.0

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: More Languages, Higher Accuracy, and Deep Neural Nets

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 […]

Rosette Cloud 1.8 Adds Topics, Salience, French Sentiment, and More

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 […]

Add Sentiment Analysis, Translated Names, Entities and More to Elasticsearch

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 […]

Rosette API 1.7 Release

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, […]

Vive la République et Vive la France!

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. […]

Are Positive or Negative Tweets More “Retweetable” in Brazilian Politics?

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 […]

Connecting to Asia with Rosette API

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 […]

Once more, with feeling, Pats Nation!

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 […]

Rosette API asks, “お元気ですか?”

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 […]

Rosette API 1.5 Released

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 […]

Never be duped by fake news again with TrustServista

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 […]

For the release of “Rogue One,” may the force of NLP be with you!

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 […]

Is the 2016 presidential campaign as negative as it feels?

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 […]

El Sentimiento Real sobre Huracán Matthew

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 […]