docs and demos of Watson services



1.1) AlchemyLanguage :Demo Document

AlchemyLanguage is a collection of APIs that offer text analysis through natural language processing. The AlchemyLanguage APIs can analyze text and help you to understand its sentiment, keywords, entities, high-level concepts and more.

AlchemyLanguage offers several API functions as part of its text analysis service, each of which uses sophisticated natural language processing techniques to analyze your content.

Intended Use

Entity Extraction

Sentiment Analysis

Emotion Analysis (Beta)

Keyword Extraction

Concept Tagging

Relation Extraction

Taxonomy Classification

Author Extraction

Language Detection

Text Extraction

Microformats Parsing

Feed Detection

Linked Data Support

1.2) Concept Expansion : Demo Document

Link euphemisms or colloquial terms to more commonly understood phrases.

Concept Expansion is a Watson service that analyzes large amounts of text to create a dictionary of contextually related words. Concept Expansion’s pattern recognition technology helps users identify contextually similar terms and phrases, create dictionaries, and find or organize text based on those dictionaries. It knows that ‘The Big Apple’ refers to New York City and that ‘getting in touch’ means communicating by email, letter, or phone.

1.3) Concept Insights :Demo Document

Rather than limiting findings to traditional text matching, Concept Insights explores information based on the concepts behind your input.

Concept Insights maps input text to a concept graph that is based on the English language Wikipedia. The service not only identifies explicit links when a concept is directly mentioned, but it also provides implicit links to concepts that are not directly mentioned.

1.4) Dialog :Demo Document

Script conversations any way you like to answer questions, walk through processes, or just to chat!

The IBM Watson Dialog service enables a developer to automate branching conversations between a user and your application. The Dialog service enables your applications to use natural language to automatically respond to user questions, cross-sell and up-sell, walk users through processes or applications, or even hand-hold users through difficult tasks. The Dialog service can track and store user profile information to learn more about end users, guide them through processes based on their unique situation, or pass their information to a back-end system to help them take action and get the help they need.

1.5) Document Conversion :Demo Document

Converts PDF, Word, or HTML documents into HTML, Plain Text, or JSON Answer Units needed by other Watson services

Service provides an Application Programming Interface (API) that enables developers to transform a document into a new format. The input is a single PDF, Word, or HTML document and the output is an HTML document, a Text document, or Answer units that can be used with other Watson services.

1.6) Language Translation :Demo Document

Translate and publish content in multiple languages.

The Watson Language Translation service provides domain-specific translation utilizing Statistical Machine Translation techniques that have been perfected in our research labs over the past few decades. Currently, three domains are available that provide translation among a total of seven languages. For best results, a domain that matches the content to be translated should be chosen.

1.7) Natural Language Classifier :Demo Document

Interpret and classify natural language with confidence.

The service enables developers without a background in machine learning or statistical algorithms to create natural language interfaces for their applications. The service interprets the intent behind text and returns a corresponding classification with associated confidence levels. The return value can then be used to trigger a corresponding action, such as redirecting the request or answering a question.

1.8) Personality Insights : Demo Document

Uncover a deeper understanding of people’s personality characteristics, needs, and values to drive personalization.

Personality Insights extracts and analyzes a spectrum of personality attributes to help discover actionable insights about people and entities, and in turn guides end users to highly personalized interactions. The service outputs personality characteristics that are divided into three dimensions: the Big 5, Values, and Needs. While some services are contextually specific depending on the domain model and content, Personality Insights only requires a minimum of 3500+ words of any text.

1.9) Relationship Extraction :Demo Document

Extracts relationships between different text entities.

Unlike general-purpose text analytics tools, Relationship Extraction leverages Watson machine learning technologies. The API can analyze news articles and use statistical modeling to perform linguistic analysis of the input text. It then finds spans of text and clusters them together to form entities, before finally extracting the relationships between them.

1.10) Retrieve and Rank :Demo Document

Enhance information retrieval with machine learning.

helps users find the most relevant information for their query by using a combination of search and machine learning algorithms to detect “signals” in the data. Built on top of Apache Solr, developers load their data into the service, train a machine learning model based on known relevant results, then leverage this model to provide improved results to their end users based on their question or query.

1.11) Tone Analyzer : Demo Document

Discover, understand, and revise the language tones in text.

Tone Analyzer might be able to help. The service uses linguistic analysis to detect and interpret emotional, social, and writing cues found in text.

2) Speech

2.1) Speech to Text :Demo Document

The Speech to Text service converts the human voice into the written word.

Watson Speech to Text can be used anywhere there is a need to bridge the gap between the spoken word and its written form. This easy-to-use service uses machine intelligence to combine information about grammar and language structure with knowledge of the composition of an audio signal to generate an accurate transcription. It uses IBM’s speech recognition capabilities to convert speech in multiple languages into text. The transcription of incoming audio is continuously sent back to the client with minimal delay, and it is corrected as more speech is heard. Additionally, the service now includes the ability to detect one or more keywords in the audio stream. The service is accessed via a WebSocket connection or REST API.

2.2) Text to Speech :Demo Document

Designed for streaming low-latency synthesis of audio from written text. The service synthesizes natural-sounding speech from input text in a variety of languages and voices that speak with appropriate cadence and intonation.

Watson Text to Speech provides a REST API to synthesize speech audio from an input of plain text. Multiple voices, both male and female, are available across Brazilian Portuguese, English, French, German, Italian, Japanese, and Spanish. Once synthesized in real-time, the audio is streamed back to the client with minimal delay. The Text to Speech service now enables developers to control the pronunciation of specific words.

3) Vision

3.1) AlchemyVision :Demo Document

AlchemyVision is an API that can analyze an image and return the objects, people, and text found within the image. AlchemyVision can enhance the way businesses make decisions by integrating image cognition.

AlchemyVision employs our deep learning innovations to understand a picture’s content and context.

3.2) Visual Insights :Demo Document

Visual Insights enhances the customer view by analyzing online photos and video to extract consumer insights related to interests, activities, hobbies, life events, and products

With so many social media channels used by a brand it’s important to know not only your customers, but also your competitors to ensure alignment across channels. Visual Insights works to give users tools to ensure consistency across those social media channels, segment customers to an individual level, create targeted campaigns, and align their social media output to followers’ preferences by running comparative analysis with competitors’ feeds.

3.3 ) Visual Recognition:Demo Document

Understand the contents of images. Trainable for custom content.

Visual Recognition allows users to understand the contents of an image or video frame, answering the question: “What is in this image?” Submit an image, and the service returns scores for relevant classifiers representing things such as objects, events and settings. What types of images are relevant to your business? How could you benefit from understanding and organizing those images based on their contents? With Visual Recognition, users can automatically identify subjects and objects contained within the image and organize and classify these images into logical categories. Need to train Visual Recognition on specific or custom content? Easily train a new classifier by sending examples and voila! Custom image recognition!

4) Data Insights

4.1 ) AlchemyData News :Demo Document

AlchemyData provides news and blog content enriched with natural language processing to allow for highly targeted search and trend analysis. Now you can query the world’s news sources and blogs like a database.

AlchemyData News indexes 250k to 300k English language news and blog articles every day with historical search available for the past 60 days. You can query the News API directly with no need to acquire, enrich and store the data themselves – enabling you to go beyond simple keyword-based searches.

4.2)Tradeoff Analytics:Demo Document

Helps users make better choices to best meet multiple conflicting goals.

Tradeoff Analytics is a Watson service that helps people make decisions when balancing multiple objectives. The service uses a mathematical filtering technique called “Pareto Optimization,” that enables users to explore tradeoffs when considering multiple criteria for a single decision. When your company makes decisions, how many factors need to be considered? What’s the process like? How do you know when you’ve found the best option? With Tradeoff Analytics, users can avoid lists of endless options and identify the right option by considering multiple objectives.


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