ARTICLES
Sentiment Analysis
Did you know ?
Positive and negative opinions are powerful.
It is important to track the sentiment of conversations, reviews, surveys, social media, emails, and more.
Twitter Sentiment Analysis
Sentiment analysis helps companies in their decision-making process. For instance, if public sentiment towards a product is not so good, a company may try to modify the product or stop the production altogether in order to avoid any losses.
Sentiment Analysis on Fake News Detection
Now a days everyone are spending time on the smart phones extensively and reading the news articles or information on the social media. Social media such as Facebook, Twitter, You tube, Twitter, Instagram, Whats App, LinkedIn, Tik Tok etc.
Sentiment Analysis on Time-Series Data Using Weight Priority Method on Deep Learning
Sentiment Analysis (SA)is the process to gain an overview of the public opinion on certain topics and it is useful in commerce and social media.
Understand Customer Data Using Time Series and Sentiment Analysis
Sentiment Time Series is a microservice that can be used on a variety of datasets to process unstructured text and return a sentiment time series plot and frequency. Since the microservice handles most of the data processing via an API call, you can spend more time concentrating on your analysis and less time writing code.
Combination of Time Series Analysis and Sentiment Analysis for Stock Market Forecasting
The goal of this research is to build a model to predict trend of financial asset price using sentiment from news headlines and financial indicators of the asset.
Tracking Sentiment by Time Series Analysis
In recent years social media have emerged as popular platforms for people to share their thoughts and opinions on all kind of topics.