Others Interview Questions and Answers (265) - Page 10

What is Topic tracking?

Topic tracking system keeps track of the users and their profiles and the documents a particular user views and thereby finds out the similar documents which may be of interest to the user. This system can be helpful in letting the users identify
particular categories they may be interested in and can also identify user’s interest based on their reading history.
Topic tracking finds application in many business areas in the industry. With topic tracking system in place organization can find out the news related to their competitors and their products, which helps them keep track of competitive products and the market conditions as well as keep track their own business and products. In the medical industry topic tracking can help medical professionals find out new treatments for
illnesses and advances in the medicine
Say something about Text summarization

Text summarization is to create a summary of the detailed text. The most important part of summarization is to reduce the size of the text without distorting the overall meaning and without eliminating the essential points in the text. This helps in getting the useful information from only summarized portion of text. In summarization one of the most commonly used techniques is sentence extraction, which extracts the essential sentences from the text by adding a weight to the sentence and also finds out the position of a particular sentence by identifying the key phrases.
Text summarization is very helpful in trying to figure out whether or not a lengthy document meets the user’s needs and is worth reading for further information. Generally, when humans summarize text, we read the entire selection to
develop a full understanding, and then write a summary highlighting its main points. With large texts, text summarization software processes and summarizes the
document in the time it would take the user to read the first paragraph.
What is Text Categorization?

Text Categorization also known as text classification is the task of grouping a set of free-text documents into predefined categories. This is done by identifying the main topics in the text documents. The text documents can be classified based on the subject and other attributes like document type, author, genre etc.
What is Entity Extraction?

Entity Extraction also know as Named Entity Recognition or Named Entity Extraction is a subtask of Information extraction that is used to identify and classify atomic elements in text into predefined categories like people, places, organizations and products. These are generally proper nouns and constitute ‘who’ and ‘where’. However there may be other named entities which can be interesting like dates, addresses, phone
numbers and website url’s. Ability to extract these kind of named entities can essential based on what we are trying to achieve.
Say about Theme extraction

Themes are the main ideas in a document. Themes can be concrete concepts such as Oracle Corporation, jazz music, football, England, or Nelson Mandela; themes can be abstract concepts such as success, happiness, motivation, or unification.
Themes can also be groupings commonly defined in the world, such as chemistry, botany, or fruit. Themes are the noun phrases or words in the text with
contextual relevance scores. Theme extraction tells you the important words or phrases being used in the text. Themes once extracted are then scored for contextual relevance.
Themes differ from the classifiers in the sense that themes tell you exact phrases or words being used while as classifiers identify the broad topics. Themes are useful for discovery purposes. Themes will allow you to actually see that there is a new aspect to the conversation that may be important to consider, which your classifiers won’t be able to catch.
Themes do a very good job in uncovering the actual context in the text. With the addition of contextual scoring information themes are even more useful in finding out important context from the text and also comparing across similar pieces of text
over a period of time.
Where can we find the applicability of text mining?

Text mining can be used in the following business sectors:

-Publishing and media.
-Telecommunications, energy and other services industries.
- Information technology sector and Internet.
- Banks, insurance and financial markets.
- Political institutions, political analysts, public administration and legal documents.
- Pharmaceutical and research companies and healthcare.
What do you mean by Sentiment Analysis?

Sentiment analysis or opinion mining is a natural language processing or information extraction tasks that helps extract pro or anti opinions or feelings expressed by a writer in a document collection. In general, the goal of the sentiment analysis is to obtain
the writers outlook about several topics or overall contextual polarity contained in a document.
The sentiments in sentiment analysis can be obtained at document level by classifying the polarity of the expressed opinion in the text of a document, at the sentence or entity feature level to find out if the opinion expressed is positive, negative or neutral.
Briefly explain A Priori algorithm

A priori is a classic algorithm for learning association rules. A priori is designed to operate on databases containing transactions (for example, collections of items bought by customers, or details of a website frequentation). The purpose of the A priori Algorithm is to find associations between different sets of data and is to extract useful information from large amounts of data. For example, the information that a
customer who purchases a particular product also tends to buy an associated product at the same time is acquired from the association rule.
Explain something about "Angoss"

Angoss uses techniques such as entity and theme extraction, topic categorization, sentiment analysis and document summarization. This tool merges the output of unstructured, text-based analysis with structured data to provide additional predictive variables for improved predictive models and association analysis. Angoss helps businesses discover valuable insight and intelligence from their data while providing
clear and detailed recommendations on the best and most profitable opportunities to pursue to improve sales, marketing and risk performance. Its application areas include: Customer Segmentation, Customer Acquisition, Cross-Sell / Upsell Next-Best Offer, Channel performance, Churn / Loyalty to improve customer retention and loyalty, Sales Productivity improvement etc.
Say something about "Attensity"

This tool has the capability to extracts facts, relationships and sentiment from unstructured data and provides social analytics and engagement applications for Social Customer Relationship Management. This tool uses natural language processing technology to address collective intelligence in blogs, online forums and
social media, the voice of the customer in surveys and emails, Customer Experience
Management, e-services, research and ediscovery risk and compliance and intelligence
Say something about SAS Text Miner

SAS Text Miner is an add-on for the SAS Enterprise Miner environment. SAS uses
information retrieval, information extraction, categorization and summarization techniques to extract useful information from text. SAS Text miner’s capabilities include: stemming; automatic recognition of multi-word terms; normalization of various entities such as dates, currencies, percentages, and years; part-ofspeech tagging; extraction of entities such as organizations, products, Social Security numbers,
time, titles, etc.; support for synonyms; language-specific analysis. SAS text miner’s
application areas include:filtering e-mail; grouping documents by topic into predefined categories; routing news items; clustering analysis of research papers in a database, survey data and customer complaints and comments; predicting stock market prices from business news announcements; predicting customer satisfaction from customer comments; predicting costs based on call center logs.
What is hosted desktop services?

It is the outsourcing of a virtual desktop infrastructure to a third party service provider.
The service provider has a multi-tenancy architecture and manages the back-end responsibilities of data storage, backup, security and upgrades.It is also called as Desktop as a service (DaaS).Typically, DaaS services are purchased on a subscription basis. Customers can pay less than $20 per user per month for a nonpersistent hosted virtual desktop; the end user's personal data is copied to and from the virtual desktop during logon/logoff and access to the desktop is device, location and network independent.
What is the importance of Unified Threat management (UTM) Firewall?

Unified Threat management (UTM) Firewall should be deployed to protect the enterprise resources against malware and intrusions to conduct deep packet inspection and comprehensive scan of all mobile device traffic either from WLAN or over other network mediums.
What is distributed DoS?

A distributed denial-of-service (DDoS) attack is one in which a multitude of compromised systems attack a single target, thereby causing denial of service for users of the targeted system. There are two types of DDoS attacks: a network-centric attack which overloads a service by using up bandwidth and an application-layer attack which overloads a service or database with application calls.
What is PNaCl ?

Portable Native Client (pronounce as PNaCl) a technology from GOOGLE that allows developers to run native compiled C and C++ code as part of their web apps.

PNaCl is now available in developer preview in Chrome 29.

It will allow developers to write web applications that are architecture-independent.

It uses an LLVM compiler infrastructure with a “compile -> link -> translate” workflow that creates an intermediary bitcode.
What is IKVM.Net ?

It is an implementation of Java for Mono and the .NET Framework.

It includes the following components:
JVM implemented in .NET
A .NET implementation of the Java class libraries

IKVM.NET includes ikvmc (Java bytecode to .NET IL translator), which allow you any a Java library that you would like to use in a .NET application.
What is cloud insurance ?

Cloud insurance is an approach to risk management in which a promise of financial compensation is made for specific potential failures on the part of a cloud computing service provider. A cloud insurance policy protects the provider who is held responsible for a service that was promised, but not delivered, as well as customers who believe they did not receive promised results. Cloud insurance may be included as part of a service level agreement (SLA) with the provider or it may be purchased separately through a third-party insurance company.
What is in-memory analytics ?

In-memory analytics is an approach to querying data when it resides in a computer's random access memory (RAM), as opposed to querying data that is stored on physical disks. This results in vastly shortened query response times, allowing business intelligence (BI) and analytic applications to support faster business decisions.
What is Tiered storage ?

Tiered storage is the assignment of different categories of data to different types of storage media. Categories may be based on protection levels, performance requirements, frequency of use, cost of storage media or other business considerations.
Because assigning data to particular media may be an ongoing and complex activity, some vendors provide software for automatically managing the process using company-defined policies. For example, a data storage administrator might assign infrequently used data to slower, less-expensive SATA storage but allow the data to be automatically moved to higher-performing SAS or solid-state drives (SSDs) as it becomes more active.
What is Native advertising ?

Native advertising is the integration of marketing content with a website or service in such a way that it is not distinct from the rest of the material presented there in terms of its content, format, style or placement.
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