Categorizing and POS Tagging with NLTK Python

NLTK Python

Categorizing and POS Tagging with NLTK Python Natural language processing is a sub-area of computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (native) languages. This is nothing but how to program computers to process and analyze large amounts of natural language data. NLP = Computer Science + AI + Computational Linguistics In another way, Natural language processing is the capability of computer software to understand human language as it is spoken. NLP is

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Stop Words and Tokenization with NLTK

Tokenization with NLTK

Stop Words and Tokenization with NLTK: Natural Language Processing (NLP) is a sub-area of computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (native) languages. This is nothing but how to program computers to process and analyze large amounts of natural language data. NLP = Computer Science + AI + Computational Linguistics In another way, Natural language processing is the capability of computer software to understand human language as it is spoken. NLP is

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Natural Language Processing Applications

Natural Language Processing Applications

Natural Language Processing Natural language processing is a sub-area of computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (native) languages. This is nothing but how to program computers to process and analyze large amounts of natural language data. NLP = Computer Science + AI + Computational Linguistics In another way, Natural language processing is the capability of a computer software to understand human language as it is spoken. Natural Language Processing (NLP) is

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What is Artificial Intelligence ?

What is Artificial Intelligence

Artificial Intelligence According to John McCarthy (father of Artificial Intelligence), it is “The science and engineering of making intelligent machines, especially intelligent computer programs”. It is a branch of Computer Science named Artificial Intelligence pursues creating computers or machines as intelligent as human beings. It is a way of making a computer, a computer-controlled robot, or a software think intelligently, in a similar manner the intelligent humans believe. In another way we define, Artificial Intelligence is a way of making

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Deep Learning and Neural Network

Deep Learning and Neural Network

Deep Learning and Neural Network : You can think of it – how a child learns through constant experiences and replication. Deep learning and Neural Network could provide unexpected business models for companies. We know that computers are better than people at crunching series of numbers or faster processing of monotonous job, but what about tasks that are more complex? How do you teach a computer what a Dog looks like? Or how to drive a car? Or how to

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Time Series Forecasting

Time Series Forecasting

Time Series Forecasting is an important area of Machine Learning that is often Neglected. Time Series Forecasting uses different Technologies like Machine learning, Artificial neural networks, Support vector machines, Fuzzy logic, Gaussian processes, Hidden Markov models What is Time Series? A time series is a sequence of measurements done over time, usually obtained at equally spaced intervals, be it daily, monthly, quarterly or yearly. Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other

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Machine Learning and Pattern Recognition

Machine Learning and Pattern Recognition

Machine Learning and Pattern Recognition Machine Learning and Pattern Recognition : In a very simple language, Pattern Recognition is a type of problem while Machine Learning is a type of solution. Pattern recognition is closely related to artificial intelligence and machine learning. Pattern Recognition is an engineering application of Machine Learning. Machine learning deals with the construction and study of systems that can learn from data, rather than follow only explicitly programmed instructions whereas Pattern recognition is the recognition of

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Machine Learning and Artificial Intelligence

Machine Learning and Artificial Intelligence

Machine Learning and Artificial Intelligence Difference between Machine Learning and Artificial Intelligence : Okay Google! What’s Up? Could you play my favourite track or Book a Cab from Palace Road to MG Road. Alexa, What time it is? Wake me up at 5AM. Could you please tell my tomorrow meetings. These are the perfect combination of Machine Learning and Artificial Intelligence. Machine learning: Machine learning is a method of data analysis that automates analytical model building. Machine learning is a

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Big Data and Artificial Intelligence

Big Data vs. Artificial Intelligence

Big Data vs. Artificial Intelligence – Introduction: Big Data: The growth of the world is impulsive in all ways, likewise the data. Data size across the world is huge, so technically increase in the data constitute the name Big Data. The time of spread sheet is over, A google search, Passport scan,  a barcode reading in supermarket, your online shopping history, An EKG reading, CCTV footage, A photo of a sandwich, a voice message, A tweet, all of this contains

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Pig Case Study – Complain Raised by different Software Companies.

pig

Pig Case Study : Problem Statement: To build a script which produces a report listing each Company & State and number of complaints raised by them. We have a data set of complaints (incidents or trouble tickets) of a software system raised by different companies. The details of the fields (i.e. data dictionary) of each record is in below format: Date received = dtr:chararray, Product = prd:chararray, Sub-product =  sprd:chararray, Issue = iss:chararray, Sub-issue = siss:chararray, Company public response =

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