Category: Artificial Intelligence

Review Rating Classification System Using Artificial Intelligence

Our research article titled “Multi Class Review Rating Classification Using Deep Recurrent Neural Networks” was published in an international journal “Neural Processing Letters” on 15 October 2019. In this tutorial, we briefly discuss the objectives, short summary, key contributions, and main findings presented in the article.

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10 Data Science Career Paths

Data Science is an interdisciplinary field of scientific algorithms, tools, and technologies to extract useful insights from the data. This blog post lists the 10 data science career paths with job responsibilities and required skills, tools and technologies.

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An Introduction to Artificial Intelligence – AI

Artificial intelligence is a field of computer science which deals with tools and techniques to train machines so that they can solve complex problems with maximum success rate. These machines learn the hidden parameters from the available data-set and then solves the unknown problems based on the learned patterns.

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Code Example To Generate Word Cloud Using R – Data Analysis

Word cloud help us to understand and visualize important keywords in given textual data sets. R is a powerful programming language used for exploration and visualization of data. Following code snippet can be used to generate word cloud using R programming language. [js] install.packages("tm") // package for text mining install.packages("wordcloud") // to generate word cloud install.packages("RColorBrewer") // to add colors in the word cloud library(tm)     // loading tm package library(RColorBrewer) // loading RColorBrewer package library(wordcloud) // loading wordcloud package text_data <- read_csv("data.csv") // reading data from csv file text <- text_data$col_name      // extracting data from column 'col_name'...
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Useful R Packages for Data Analysis

R is a powerful programming language used for exploring and analyzing data effectively. R provides many built in functions for data analysis. Furthermore there are many other R packages for data analysis which can extend the data analysis functionality. Following are some useful R packages which can be installed for specific tasks. Twitter Data Analysis: //rtweet.info install.packages(rtweet) Text Mining: install.packages("tm") // for text mining install.packages("SnowballC") // for text stemming install.packages("wordcloud")  // word-cloud generator install.packages("stopwords") // for multilingual stop words Colors: install.packages("RColorBrewer") // to add colors Visualization: install.packages("ggplot2") // for data visualization functions  ...
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Useful R Functions – Exploratory Data Analysis

R is a programming language used for statistical analysis and exploratory data analysis projects. According to the official website: R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. [source] Following are some useful R functions which can be used for data exploration and visualization. To read data from CSV file: data_obj <- read_csv("data.csv") In above line data_obj is the object name in which your data will be saved, data.csv is the...
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Limitations of Social Media Analysis for Participatory Urban Planning Process

In previous post we discussed how social media participatory process can help city designers, planners or administrators in decision making process. In this post we discuss the limitations / shortcomings of social media participatory process for urban planning. This post is a short summary of the paper titled as 'Missing intentionality: the limitations of social media analysis for participatory urban design' by Luca Simeone. Objective: The objective of this case study was to find limitations of social media analysis for participatory urban planning process. They analysed what city inhabitants are publishing on their social media profiles to perceive what they think...
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Social Media Participation in Urban Planning

Social media is generating a huge amount of data every second and this data can be used to make important decisions about any particular topic. This post is a short summary of a research paper titled as 'SOCIAL MEDIA PARTICIPATION IN URBAN PLANNING: A NEW WAY TO INTERACT AND TAKE DECISIONS' by E. López-Ornelas, R. Abascal-Mena, S. Zepeda-Hernández. Textual analysis is performed on social media data to know the sentiments (opinions) of the people about any topic. This type of analysis is very important for organizations and institutions to make important decisions. In this paper they have used the installation of a...
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