How to Find More Categories for your Product

Standard taxonomies such as IAB QAG (Interactive Advertising Bureau Quality Assurance Guidelines) or product categories from Google or Amazon are fixed and are not updated very often. The IAB QAG categories assume you want to advertise your product, and the product catalogs are specifically for buying the product. For new products, there may not be an appropriate category, and if you want to educate customers or build awareness about your product, you are out of luck with the IAB QAG or Product Catalog categories. Data Ninja Smart Content will find appropriate categories based on public knowledge and tens of thousands of requests.
Read More

Amazon Product Reviews Meets Sentiment Analysis

Every now and then, we benchmark against an industry standard to validate our results for sentiment analysis, such as Amazon Product Reviews. The large volume and variety of products in Amazon.com provides an excellent benchmark to test sentiment analysis. We have used machine learning to train sentiments for text in product reviews. This means that whether your product review is from Amazon or not, the sentiment has tested and validated with real product reviews. Data Ninja API includes not only the overall sentiment of a review, but sentiment of individual entities and keywords. You might use the positive entities and keywords in your next blog, marketing materials, or on your website.
Read More

Applying Large-Scale Text Analytics with Graph Databases

Data Ninja Services collaborated with Oracle to reach a major milestone in the integration of text analytics with Oracle Spatial and Graph. The Data Ninja Services client in Java can be used to analyze free texts, extract entities, generate RDF semantic graphs, and choose from a number of graph analytics to infer entity relationships. We demonstrated two case studies involving mining health news and detecting anomalies in product reviews. See the presentation .
Read More

Document Categorization and Product Reviews Use Cases

We highlighted a few common use cases in text analytics for the Open Data Science Conference (ODSC). Our use cases for ODSC include document categorization and product reviews. Our APIs are not limited to a particular industry and are used broadly across multiple industry verticals without modification. Custom dictionaries, custom taxonomy, or specific domains are available as custom options. See the video
Read More

Introducing News Analysis – Text Analytics Application

NewsBot Ninja is our own homegrown text analytics application for the daily news. Discover topics by date range or key terms. Keep on top of key trends and sentiment over thousands of articles. The presentation “Using Text Analytics to Convert Free-Form Texts to Structured Data” gives the background information on our APIs and the journey to the creation of NewsBot Ninja application.
Read More

Using Text Analytics to Convert Free-form Texts to Structured Data

A sneak-peek at the talk we will be presenting at the Open Data Science Conference on November 6th at 3:00PM: An abundance of texts occurs in many forms, from legal documents with proper grammar to informal messages using abbreviation and informal speech. Making good use of these texts by extracting the semantic contents can be valuable, but is generally wrought with many complications. In this talk, we will describe simple ways to build content-intelligent applications using free texts and to enable data scientists to explore the rich semantics...
Read More

Data Scientists Spend 80% Pre-Processing Data

Hear Ronald Sujithan of Data Ninja Services share his insights on data science and text analytics as part of his video interview at the Data By the Bay Summit. Solving the text analytics problem is messy, and it's complex. Good data scientists spend 80% of their time pre-processing and dealing with missing data. Data Ninja Services team has been working to solve these problems for many years. You don't necessarily have to do the heavy lifting yourself. We have built a service that simplifies that whole process, so you, as a data scientist, can focus on your own specific business problems.
Read More

Advertising Use Case Text Categorization

Claudia Perlich is frequently on Quora answering questions about data science. She has a compelling use case for advertising, and we want to share it with you. Contextual Categories Enhance Advertising Predictive Modeling at Dstillery by Claudia Perlich, Chief Scientist at Dstillery and Adjunct Professor Business Intelligence and Data Mining at NYU. What was the problem you needed to solve? A media client was looking for insights about its readers to better monetize the available ad inventory by matching content to marketers. While the main Dstillery...
Read More

Oracle OpenWorld Passes for API Usage

Try our text analysis APIs for 100 or more calls and get a free Discover pass. The Oracle OpenWorld Discover pass includes access to five days of conference Keynotes and the Exhibition Hall. Our APIs are built to handle thousands of requests in less than a second. With 100 calls, you can get a sample of our capabilities. Once you have signed up and tried out the APIs, we just need your name and email address. Please email us, and we will verify that 100 or more API...
Read More

Pages