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  We provide projects on wireless communication, WEKA, SentiWordNet, SDN, QUALlNet, OPNET, OpenCV, MiniNet, PEERSIM and so on

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  We do research on Wordnet, Grid Computing, Cloud Computing, Computer Networking, etc

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  We provide electrical projects based on power electronics, MATLAB Simulink and SIM Power

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  For Electronics Engineering Students we support technologies like ARM, GSM, GPS, RFID, Robotics, VLSI, NSL, NS3, OMNet++, OPNet, QUALNET, PeerSim

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  For Computer Science Students we support NS2, NS3, MATLAB, Java, OMNeT++, OPNet, CloudSim, Qualnet, Weka, Wordnet, Dot Net, Hadoop,….

Wordnet Projects denoted as on-line lexical reference system. We create a word net design to provide more inspiration in linguistic theories and human lexical memory. We offer word net academic projects to form lexical words such as nouns, verbs and adjectives. We provide word Net projects to online dictionaries for European languages. Our main aim of Word Net projects to find similarity among word for the given input file. We implemented word net projects in more than 90 projects with various domains such as text mining, data mining and web mining applications. Word Net can act either as dictionary (or) thesaurus but both combined features ensure lexical language structure.

WORDNET Projects

Objective of Network:

We adopt and implement the following objectives in students projects are:

• Analyze synonym, antonym, and homonym for words.
• Build lexical relationship among words in sentence.
• Ensure flexible service for text classification, information retrieval, language expression generation and identifies interference.
• Semantic relationship is provided among various sentences.
• Represent schema, tree structure, graph theory and force graph structure.

Hypothesis in Word Net:

We implement following hypothesis in word net M.E projects are:

• Seperability Hypothesis:

  Word net initially describes and study lexical component of every language in isolated and separate manner called Seperability hypothesis. We use this process to find out vocabulary of human speech.

• Patterning Hypothesis:

  We use this hypothesis to express the people idea without knowing meaning for every single word but look relations among various words.

• Comprehensive Hypothesis:

  We implement this hypothesis to describe people natural language and linguistic computation of each lexical storage words.

WORDNET Project

Dictionary:

The main structure of access word net database, we use dictionary. Dictionary functions are installed in database which automatically select path. It composed of various package functions which stored in internal part of word net.

Relations in Word Net:

We adopt and implement various relations in Word net from Science Direct Reference paper are:

• Synonymy: Express word meaning in different way meaning of word is substituted but cannot be interchange the meaning. E.g. gathering, meeting.
• Homonymy: Words with same syntax but unrelated different meanings. Polysemy which have same syntax and related meanings.
• Antonym: Ensure a relation among lexically opposite words e.g. big, small.
• Metonymy: It ensures a relationship among words in one part of speech. E.g. birds and wings.WordNet Projects

Advantages of Word Net:

We use the advantages of word net are

• Easy to Maintain
• Offer Free Software for Project Development.
• Widespread Application Tool.
• Strong Support for Research Sectors.

WORDNET

Learning Methods In Word Net:

Word Net is a large domain. To learn word Net we use various methods there are:

• Clustering:

  Clustering split object into different subsets. We use hierarchical and partial clustering algorithm in Word Net.

• Information Theory:

  To find probability distribution for given data we use this process called entropy. It ensures a trick to distribute the measured data randomly.WordNet Projects