IBM Watson is coming to the US Open Tennis Championships for the first time via a new cognitive concierge feature being piloted within the tournament’s official mobile apps to enhance the fan experience at the Billie Jean King National Tennis Center. The US Open mobile app Guest Services companion will pilot a Watson-enabled discovery tool that allows fans to input natural language questions and receive immediate responses about a range of tournament topics, such as transportation and directions, food and drink options, on-site services and facilities, as well as other topics.
By tapping into the Natural Language API [...]
Cooper Tire & Rubber Company that specialize in the design, manufacturing, marketing and sales of passenger car and light truck tires, has selected OpenText to automate its email archiving and records retention. Using OpenText, Cooper will be able to more efficiently manage corporate email content and apply record retention policies that help Cooper continue to meet increasingly stringent legal and information governance requirements.
Faced with growing volumes of content and data, Cooper launched a project to replace its current system with a solution that was both easier to implement and automated the company’s [...]
FreeQDA is a software for professional qualitative research data analysis, such as interviews, manuscripts, journal articles, memos and field notes.
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TAMS stands for Text Analysis Markup System. It is a convention for identifying themes in texts (web pages, interviews, field notes). It was designed for use in ethnographic and discourse research. TAMS Analyzer is a program that works with TAMS to let you assign ethnographic codes to passages of a text just by selecting the relevant text and double clicking the name of the code on a list. It then allows you to extract, analyze, and save coded information. TAMS Analyzer is open source; it is released under GPL v2. The Macintosh version of the program also includes full support for transcription (back space, insert time code, jump to time code, etc.) when [...]
Microsoft Azure Cognitive Service Text Analytics API detect sentiment, key phrases, topics, and language from your text. For Sentiment Analysis, the API returns a numeric score between 0 and 1. Scores close to 1 indicate positive sentiment and scores close to 0 indicate negative sentiment. Sentiment score is generated using classification techniques. The input features of the classifier include n-grams, features generated from part-of-speech tags, and word embeddings. English, French, Spanish and Portuguese text are supported.
For Key phrase extraction the API returns a list of strings denoting the key talking points in [...]
indico provides developer-friendly tools and APIs that turn raw text and image data into human insight.Sentiment Analysis API takes a sample of text (tweet, article, email, forum post, report, etc) and returns the positivity. For example, the text of a 5 star review is positive, while the text of a 1 star review is negative.Keyword Extraction API parses text to find the most important words that have been used. For example, within the sentence “Boston can get very cold during the winter”, this API will tell you that the words “Boston”, “cold”, and “winter” are the most important words in the sentence.
TheySay’s Social Media monitoring platform is called MoodRaker. The platform monitors multiple data sources and channels (Twitter, Facebook, news, digital media, amongst others) and uses a rich real-time dashboard to track, compare, summarise, and make sense of public opinions, moods, and feelings at a truly vast scale beyond what any single human would be able to read and digest.MoodRaker allows you to keep track of what people say about any topic across Social Media and news networks.
TheySay’s real-time Sentiment Analysis API gives you access to a state-of-the-art sentiment analysis algorithm through a scalable and [...]
Google Cloud Natural Language API reveals the structure and meaning of text by offering powerful machine learning models in an easy to use REST API. You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.
Extract actionable insights on product reception or user [...]