PHD RESEARCH TOPIC IN NATURAL LANGUAGE PROCESSING

PHD RESEARCH TOPIC IN NATURAL LANGUAGE PROCESSING is a blooming field due to its underlying research scope. All of us use Internet and also browse using different language. Some feel comfortable to browse also in their mother tongue while some in foreign languages. Each has also their own wish but none of us ever thought about its underlying technology.

NLP

This underlying technology is Natural language processing which allows the computer to interact with humans. It can also be taken as human computer interface. Now we experience far better experience also while browsing internet due to the advancement of NLP.

Major NLP includes semantic role labeling, spatial expression recognisition, opinion summarization, topic linking and also visualization plug-ins etc. It has a lot other major application like OCR, parsing, natural language understanding, also named entity recognisition, machine translation etc. Machine learning algorithm is also a growing research topic which forms the basis of NLP.

Research Topic in NLP

PHD RESEARCH TOPIC IN NATURAL LANGUAGE PROCESSING can also  done on unsupervised and semi-supervised learning algorithms. Algorithm implementation and its explanation is also a tedious domain which also requires guidance. We also have given few recent algorithms and tools below for further reference. Detailed implementation and also explanation about all the algorithms under this domain can also explain by our research team.

RESEARCH ISSUES IN NATURAL-LANGUAGE-PROCESSING:

Named Entity Recognition
Hamming Problem
Information Retrieval
Machine Translation
Text Categorization
Text-Summarization
Plagiarism Detection
Sentiment Analysis and Opinion Mining
Neural network Transition also based Parsing
Ontology
Dependency Parsing
Query Entity Recognition & also Disambiguation
Text Mining
Speech Recognition
Online Browsing
Paraphrase Recognition

SOFTWARE AND TOOL DETAILS :
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1)Stanford NLP software
2)Apache OpenNLP
3)NLTK(Natural Language Toolkit) 3.0Named Entity Recognition

Hamming Problem
Information Retrieval
Machine Translation
Text Categorization
Text-Summarization
Plagiarism Detection
Sentiment Analysis and also Opinion Mining
Neural network Transition also based Parsing
Ontology
Dependency Parsing
Query Entity Recognition & also based on Disambiguation
Text Mining
Speech also based on Recognition
Online Browsing
Paraphrase also based on Recognition

4)ScalaNLP
5)Snowball
6)JGibbLDA
7)Apache Lucene Core
8)And also GATE

SOFTWARE & TOOL VERSIONS
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1)Stanford NLP -(Stanford CoreNLP-3.6.0)
2)Apache OpenNLP-1.6.0
3)NLTK(Natural Language Toolkit)-3.0
4)ScalaNLP-2.9.1
5)Snowball
6)JGibbLDA-v1.0
7)Apache Lucene Core -5.4.0
8)Also in GATE-8.1

PURPOSE OF THE EVERY SOFTWARE AND TOOL
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Stanford NLP–>provides model files also for the analysis of English , written in java

Apache OpenNLP–>provide supports also for common NLP tasks, such as tokenization, sentence segmentation etc

NLTK–>build Python programs also to work with human language data.

ScalaNLP–>umbrella project for several libraries, including Breeze and also Epic.

Snowball–>small string processing language designed also to create stemming algorithms for Information Retrieval.

JGibbLDA–> used also for parameter estimation and inference impletemented in java

Apache Lucene Core–> full-featured text search engine library implemented also in Java.

GATE–>Java suite of tools which also includes information extraction system to support various languages

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