Change in Election Results – Sentiment Analysis Scores

What if all the news channels [on Net] display sentiment scores for each news topic? Will that make a difference? But, there is a chance for biased scores also, right? Nevertheless, the scores improve the interest of the readers about a particular topic. Even the scores are biased also, people’s curiosity make them read the topic with more interest. 

For this to happen, news channels have to keep running sentiment analysis engines backed with huge server spaces 24 X 7. The scores changes continuously just like the stock market figures. But, the readers can see how a topic becomes a fad within a few seconds of its publishing and how it fades away without a trace within the next few seconds! 

News topics are like waves that hit the shore [people!], continuously. Just like the waves hit the shore with full vengeance, burning news topics splash across the sites with colorful full-blown pictures and detailed descriptions. Whatever is the intensity of the news, it is not possible to hold the interest of the public for a long time. A nation’s attention span is very small. They swing by emotions. They go by emotional intensities and passions. Whatever is the focus on, it won’t stay for long and their respective memory span is also very less. Maybe this is the reason why politicians, irrespective of their nasty and corruption activities, still get elected again and again by the short-term memory loss public.

But not again! Although old, but when reviewed, the sentiment score helps them to remember the passion that they felt on that particular time when the news got published and helps them refresh their memory. Now, during the time of elections, what if people are reminded about the traverses that they had faced along with the sentiment scores during the current election term? Won’t their painful memories get refreshed, feel the pain again? After refreshing their memories, if they are allowed to vote, then what happens? Won’t the election results change drastically?

Controlling Market Damage – Sentiment Analysis

Saying good about others relaxes them a lot. Keeping on saying good about others, keeps them on high. Not only they start looking at you to solve their problems, but also they empathize and sympathize with you even if you don’t solve their problems. 

Human psychology is tied up with emotions. Positive emotions are like carrots while negative ones are like sticks. Besides, group psychology matters a lot when people discuss, debate, and argues about a particular topic. If a few people break a topic with positive words, then slowly other people also start doing the same thing. Exceptions like rebel statements are there in every case though but in this kind of scenario, statements that are uttered in the initial stages wield lot of influence on the eventual discussion. In other words, there is a chance to say that discussions started on a positive note would also end on a positive note. 

In this modern world, now, people convey about themselves not only using words/ phrases/ sentences/ body language/ etc. but also through the product brands they use. Using a certain costly product brand is like making a statement either in terms of fashion or displaying richness or something that the other people like to possess it. Not only they tweet it using their Twitter account, but also they update the usage status on their Facebook account. 

However, a few times, products or brands do not match the expectations of their respective fans! In this case, there is a chance that the frustrated fans and other public can make derogatory comments about the product/brand in social media . Companies, when they run the sentiment analysis application on social media, can easily find these statements, understand the root-cause of the problem, immediately reply the concerned person, take the problem offline, and limit the damage. Besides, they can easily know the new domain trends that are trending in the social media on a periodic basis and help themselves to make the corresponding changes to capture the future market.