Review of Sentiment Analysis on Twitter Data Using Python

Deshpande, Prajakta

doi:10.26483/ijarcs.v8i9.4956

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Both languages are similar and at the same time they have their own uniqueness [23] [28]. Ruby and Python [5], [8] works on distinctive platform inclusive of Mac OS, Windows and various versions of linux [26] [27]. Any person with an English expertise can easily go with these two languages without a deep know-how in coding.…”

Section: Introductionmentioning

confidence: 99%

A Correlative Scrutiny on two Programming Dialects: RUBY Vs PYTHON

Chandran,

Abraham

2020

IJEAT

View full text Add to dashboard Cite

The two most dominant rising programming dialects in reality, Ruby and Python have many features in common. High-level object-oriented coding, interactive shell, standard libraries, persistence support are some of the common features of Python and Ruby. However, both vary in their approach to solve problems because of their syntax and uses. Power of a language is based on the libraries and popularity defines the frameworks that have been used. This research paper primarily focuses on the frameworks and libraries of Ruby and Python. Ruby on Rails is one of the most powerful framework of Ruby and Django for python. Python is used for many purposes beyond web development such as data science and machine learning computations. A spike in popularity is seen for both Ruby and Python but still the question of “which to be opted” for developing an application becomes a query most of the times. Hence, this research scrutinizes both Ruby and Python in terms of framework and libraries.

show abstract

Section: Introductionmentioning

confidence: 99%

A Correlative Scrutiny on two Programming Dialects: RUBY Vs PYTHON

Chandran,

Abraham

2020

IJEAT

View full text Add to dashboard Cite

show abstract

Social Media Data Mining in Public Relations Research

Britt,

Hayes,

Holiday

et al. 2024

Journal of Public Relations Research

View full text Add to dashboard Cite

The use of social media in the B2B sales process: a meta synthesis

Rodrigues

Takahashi

Prado

2020

RAUSP

View full text Add to dashboard Cite

Purpose The purpose of this study is to understand how business-to-business organizations use social media during the sales process. Design/methodology/approach The meta-synthesis steps methodology (Hoon, 2013) was applied. Findings This study presents a theoretical framework and contributes to improved understanding of how business can use social media in the sales process stages. The results allow identifying stages, discussing the integration between marketing and sales and generating benefits for the organization. Originality/value The proposed framework helps in understanding the previously performed fragmented studies. This study shows that social media use not only influences the sales process stages and increases the benefits to the business but also works as a mediator in the relation between sales process stages and identified benefits.

show abstract

Review of Sentiment Analysis on Twitter Data Using Python

Cited by 3 publications

References 0 publications

A Correlative Scrutiny on two Programming Dialects: RUBY Vs PYTHON

A Correlative Scrutiny on two Programming Dialects: RUBY Vs PYTHON

Social Media Data Mining in Public Relations Research

The use of social media in the B2B sales process: a meta synthesis

Contact Info

Product

Resources

About