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News Sentiment Analysis

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Are you looking to manage your brand reputation online? News monitoring is the process of extracting references to your brand from mainstream media. News sentiment analysis takes those mentions and scores them for positive or negative sentiment. This allows you to understand how the public feels about your company. – PowerPoint PPT presentation

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Title: News Sentiment Analysis


1
Will the Future of Search be Semantic in 2021?
  • www.repustate.com

2
Table of Contents
What is news monitoring?

What is news sentiment analysis?

How do you scrape news data from the internet
using Python?

What are the benefits of news monitoring?

Why choose Repustates Text Analytics API for
news monitoring?
3
Sentiment Analysis for News Monitoring
4
Are you looking to manage your brand reputation
online? News monitoring is the process of
extracting references to your brand from
mainstream media. News sentiment analysis takes
those mentions and scores them for positive or
negative sentiment. This allows you to understand
how the public feels about your company.

These insights can be applied to improve your
brands competitive advantage and market share.
If you want your company to prosper, you must
look for brand insights in those channels where
people are expressing their feelings toward it.
News coverage is one of those channels.
5
What is news monitoring?
  • News is the retelling of recent important events,
    issues, or influential people. This relevant
    information can include business stories that
    mention companies, brands, and cultural trends.
    News stories can cover topics like crime,
    economics, politics, and entertainment. News can
    be broadcast through a variety of channels using
    various media. Thijs Woltering, Manager of Media
    Analysis at Media Info Groep in the Netherlands,
    defines news monitoring as the monitoring of at
    least all editorial news in the entire media
    landscape.
  • In addition to brand mentions, news monitoring
    can also be applied to extract references to
  • Competing brands and companies
  • Geo-political issues that impact the economy
  • Important new political policies and legislation
  • Mentions of executives and board members

6
What is news sentiment analysis?
News sentiment analysis takes the basic
principles of sentiment analysis and applies them
to brand mentions in the news. Sentiment analysis
pairs machine learning with natural language
processing for text analytics to score high-value
information from news coverage and gauges the
opinions expressed as negative, positive, or
neutral.

Sentiment analysis can also be applied to videos
from news websites and YouTube through video
content analysis. Online reputation suggests the
perspectives consumers have about your brand as
expressed through online channels.
7
  • Your brand is ultimately how people perceive your
    company, whether in a positive or negative light.
    Various groups can express their opinion about
    your company in the news. Various individuals who
    are influential on public opinion can speak about
    your business in the media. People such as
  • Consumers
  • Company executives
  • Journalists
  • Analysts
  • Influencers
  • These individuals can all have an immense effect
    on whether consumers choose to buy from you or do
    business with you. This is why applying sentiment
    analysis to news monitoring is so essential. Here
    is an example news sentiment analysis of how a
    Subway Sandwiches online brand reputation was
    recently affected by Irish legislation

8
How do you scrape news data from the internet
using Python?
Many companies employ web scraping for news
monitoring. Web scraping is a technique used to
browse the internet to search for a piece of
particular information. A web scraping tool makes
copies of the entire content of a website, copies
its data, and then runs a code through it to
parse the data and extract the parts you want.
Some websites allow web scraping, while others
are less inviting, as web scraping can lead to an
unprecedented spike in web traffic resulting in a
website crash.
Python is used for web scraping not only because
it is easy to use, but also because it is perfect
for collating information from a huge amount of
data. The most widely used modules in the Python
library for web scraping are Selenium, Beautiful
Soup, and Requests. They can be used
individually, as well as together.
Selenium can automate different events like
clicking and scrolling on the targeted website
and is mostly used for website testing. It is
especially helpful if you need to interact with
JavaScript.
9
Why choose Repustates Text Analytics API for
news monitoring?
10
Which Are The Most Important Sources Of
Collecting Customer Insights?
11
Thank you!
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