Autonomy's technology uses probabilistic modeling to extract meaning from digital content, and forgoes language-dependent parsing or dictionaries to form ideas. Because Autonomy treats words merely as abstract symbols of meaning, it is completely language independent. It does not rely on an intimate knowledge of a language's grammatical structure, but rather derives its understanding through the context of the words' occurrence rather than through rigid definition of grammar. This highly mathematical logic yields high accuracy, and performance is further optimized through proprietary stemming algorithms, "sentence breaking" libraries, stoplists and n-grams.
BBC Arabic.com
Although Autonomy's fundamentals are predicated on a language independent model, it is still capable of using linguistic analysis to parse semantics to an intra-document level. For instance, the Sentiment Analysis functionality can determine the degree to which a sentiment is positive, negative or neutral for the entire content or a segment of the content. A blogger may have a positive opinion on the iPod, but a negative one on the iPhone, all within the same entry. By extracting information from every file processed, IDOL continually learns positive and negative language structures and concepts.
Broadcast Monitoring Transcription
Autonomy's software analyzes units of word and not characters, so it also works well with double byte languages. It supports over 150 languages, including English, German, French, Italian, Chinese and Japanese, and can even be easily configured to auto-detect the language of incoming documents.
Summary: ...ability to securely connect to diverse repositories enables us to more effectively index critical information such as our request-for-proposals.” In addition to multiple repositories, Softlab stores information in German and English. The company relies on IDOL K2’s advanced linguistic analysis functionality...
Summary: ...its intellectual property. With upwards of 60 per cent of business communication being via email it is an area which many businesses are overlooking, at their peril. According to Gartner, any organization which doesn’t treat emails as records is tempting fate. “We will trap all incoming and outgoing...
Summary: ...US National Parks Service Case Study. The pattern-matching algorithms that power IDOL’s concept-based search allow users to enter full-sentence queries or ask questions in plain language and get relevant results that simply isn’t possible with keyword search engines. For example, when a user enters...
Summary: ...of the implementation is the use of IDOL to power parametric refinement of the user’s search. This enables the user to quickly and easily refine the returned results based on criteria such as the people involved, the places mentioned, or even more abstract concepts such as the sentiment of the article....
This is a small selection of the Autonomy case studies available, please visit our publications site at http://publications.autonomy.com/ for more information.
Summary: ...Norwegian, etc.). As this technology is based on probabilistic modeling, it does not use any form of language dependent parsing or dictionaries. IDOL treats words as abstract symbols of meaning, deriving its understanding through the context of their occurrence rather than a rigid definition of the language...
Summary: ...therefore does not require any form of language dependent parsing, dictionaries or translation modules. Treating words as abstract symbols of meaning allows Autonomy's technology to derive understanding through the context in which symbols occur rather than a rigid definition of grammar. Slang and other...
Summary: ...offering leveraging IDOL functions. The solution analyzes online conversations and interactions through intelligent, pattern-matching techniques and probabilistic modeling, treating words as abstract symbols of meaning rather than limited by a rigid definition of the language and grammar. IDOL, therefore,...
Summary: ...through advanced natural language processing techniques, treating words as abstract symbols of meaning and deriving its understanding through the context of their occurrence rather than a rigid definition of the language and grammar. This means that IDOL has no problem understanding slang, industry specific...
Summary: ...set of tools, including: • Deep video indexing using automatically generated metadata • Foreign multimedia search in user ’s native language • Key frame identification • Scene detection • Sentiment analysis • Automatic speech-to-text transcription • On-screen character recognition (OCR)...
Summary: ...of format, with the ability to understand information the way humans do – by identifying and prioritizing the concepts within a piece of information to derive meaning, without relying strictly on tags, keywords or metadata. In addition, because IDOL treats words merely as -ab stract symbols of meaning,...
Summary: ...relationships between seemingly separate subjects. • Sentiment and Vibe Analysis– determines the degree to which a sentiment is positive, negative or neutral for the entire interaction or a segment of the interaction. • Automated Reporting and Workflow– automatic distribution of appropriate reports,...
Summary: ...Autonomy Virage ensures you know about it. Sentiment Analysis Autonomy’s core technology allows advanced categorization based upon degrees of sentiment and tonality. By analyzing the structures and meaning of language, Autonomy Virage is able to determine the positive and negative characteristics of...
Summary: ...modeling and patternmatching techniques. It currently supports over 100 languages and provides cross-lingual search. Autonomy also provides optional language packs to further enhance localization, including stemming, stoplists, transliteration, multiple encoding support and term decomposition. Requirements...
Summary: ...or tones. • Facial Recognition - Locates a face in the video, and matches facial features against a library of user-defined faces. • On-Screen Character Recognition - Identifies characters and numbers that appear in the video, parses the text into sentences and stores them with the in and out times...
Summary: ...and content accessibility to search engines • Integrate automated transcriptions, deep video indexing, and web services interfaces for integration with tools such as search emulators Advanced Search Marketing Capabilities Conceptual Retrieval Autonomy IDOL uses advanced pattern matching and probabilistic...
Summary: ...traditionally been unable to identify languages quickly or accurately, often using a speech-to-text methodology that relies on lengthy transcription processes and language identification based solely on grammatical structures and rules. Autonomy leads the market for processing multilingual speech communication...
This is a small selection of the Autonomy Product Briefs available, please visit our publications site at http://publications.autonomy.com/ for more information.
Summary: ...and language to collaborate and share knowledge. Language Independence Autonomy’s technology uses probabilistic modeling to extract meaning from content, and forgoes language-dependent parsing or dictionaries to form ideas. Because Autonomy treats words merely as abstract symbols of meaning, it is completely...
Summary: ...of language dependent parsing or dictionaries. Words are treated as abstract symbols of meaning and the engine derives its understanding through the context of their occurrence rather than a rigid definition of the language grammar. Autonomy's approach to concept modeling relies on Shannon's theory that...
Summary: ...Autonomy's concept-matching technology does not depend on an intimate knowledge of any particular grammatical structure or linguistic knowledge of a specific language. Words are treated as abstract symbols of meaning, and understanding is derived through analysis of the context of their occurrence, rather...
Summary: ...conceptual matches that legacy search engines would be unable to locate. This advanced search method is used in conjunction with semantic parsing and other legacy approaches to yield highly accurate results. Importance of Conceptual Search When handling large amounts of data, legacy search methods such...
Summary: ...as third party content—and act on that knowledge to deliver the best performing, most accurate, and relevant content to each individual visitor. Automatically. 2 Bringing ased on Meaning Based Meaning Computing, to Marketing Meaning Based Marketing leverages proven mathematical techniques and algorithms...
Summary: ...Autonomy Etalk White Paper: Autonomy Enterprise Speech Analytics. In response to the challenges presented by phoneme processing and word spotting techniques, language models were developed to give a more accurate recognition rate for complex words and phrases by using a dictionary and a pre-defined language...
Summary: ...customization via additional text material Fixed-latency real-time mode for media monitoring operations Speech-To-Text Autonomy’s speech-to-text technology uses powerful statistical algorithms to create a language-independent mathematical model of speech: • • • • • • • • Word Spotting...
Summary: ...Information Theory to automatically extract the key concepts from any piece/s of information. As a mathematical platform, it is not constrained by the limitations of linguistic or rules-based models. Distinct concepts, ideas and behaviors are exposed within any data set on the basis of mathematically...
Summary: ...Proprietary and Confdential to etalk. Figure 2 shows the components that comprise a speech recognition system. It can be seen that once the speech signal has been recorded it is passed to the recognition algorithm. This uses acoustic models, a language model and a pronunciation dictionary to produce hypotheses...
Summary: ...of rich media management, providing advanced speech technology and video indexing. By combining complex mathematical models of natural language analysis with IDOL’s meaning-based technology, Autonomy provides accurate, content-based retrieval of information. While legacy phonetic approaches merely use...
Summary: ...Autonomy White Paper: Understanding the Voice of the Customer. Stemming Qfiniti Explore provides a complete result set is by allowing the user to include words that are of the same origin. This method, called stemming, allows Explore to automatically search for words that are a derivation of the original...
Summary: ...Why Meaning Matters Meaning Based Computing refers to the ability to form an understanding of all information, whether structured, semi-structured or unstructured, and recognize the relationships that exist within it. When applied to speech, this allows technology to derive intelligence from voice information...
This is a small selection of the Autonomy White Papers available, please visit our publications site at http://publications.autonomy.com/ for more information.
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