Natural Language Processing, Opinion

Photo by Stefano Pollio on Unsplash

Aadit Barua, Westlake High School, Austin, TX

A global challenge

Depression is a mental health condition that affects over 250 million people, according to the World Health Organization (WHO). The situation has become much worse due to COVID-19; the World Economic Forum (WEF) quotes a study that found one out of every three individuals across multiple countries to be dealing with some level of depression during the pandemic. Many people fighting depression turn to online communities for support and help. Depression can vary from mild to severe, and online platforms have emerged to serve the needs of individuals with this…


Photo by Sasha Freemind on Unsplash

Aadit Barua, Westlake High School, Austin TX

Depression is a serious mental health issue that affects 264 million people in the world according to the World Health Organization (WHO). Statistics published by the WHO indicate that 800,000 people die by suicide each year with severe depression being a major contributor. COVID-19 has exacerbated this problem through social isolation, economic hardship, health concerns, and uncertainty about the future, among others. …


Getting Started

Photo by Markus Winkler on Unsplash

By Aadit Barua and Josh Barua, Westlake High School, Austin, TX.

The main idea

We develop and test a simple method for extracting sentiments regarding individual features of a product or service from user reviews. The motivation is that users may mention multiple features in their reviews, and may hold different or even opposing opinions regarding such features. For example, a customer may like the sound quality of a pair of headphones but dislike the noise cancellation feature. Yet, performing sentiment analysis on the whole review may yield misleading or incorrect results regarding the sentiment toward the individual features. Thus…


Computer Vision, Programming

Photo by George Pagan III on Unsplash

By Aadit Barua and Josh Barua, Westlake High School, Austin, TX.

Engagement is a scarce commodity that every brand is vying for in online platforms like Instagram. How can we use machine learning to help a brand increase its engagement levels on Instagram? What type of pictures attracts attention and engagement? To answer this question, we use computer vision (aka image analytics) and topic modeling to determine what themes or topics are associated with pictures that attract attention. We study Zara, a well-known Spanish fashion brand selling trendy clothing and accessories, as the use case for our analysis. …


By Aadit Barua & Josh Barua, Westlake High School, Austin, TX.

Is QAnon a grassroots phenomenon, or is it largely driven by a few influencers? To be considered an influencer, a user must get a lot of attention from others in a network, which can be measured in Twitterverse as the share of retweets, replies and mentions a user receives. With tweets from 10k QAnon supporters, we use social network analysis to show that QAnon is largely influencer based; a relatively small fraction of users attracts much of the attention, and most QAnon supporters repeat what the influencers are saying…


Aadit Barua, Westlake High School, Austin, TX.

It is easy, but is it reliable?

Sentiment analysis is an important part of text mining, and is essential in automated processing of social mentions, customer interactions, product reviews and myriad other applications. Broadly speaking, sentiment analysis comes in two flavors — supervised and unsupervised — with supervised being touted as the preferred method due to its context sensitivity, which results in higher accuracy. However, unsupervised sentiment analysis has the advantage of simplicity and speed, which saves time and effort, since we don’t have to painstakingly build a training data set. The question, though, is whether the ease of use…


Photo by Marvin Meyer on Unsplash

Aadit Barua, Westlake High School, Austin, TX.

A valuable resource, but too much data overload?

Online communities are platforms for in-depth discussions and interactions between people with shared interests. From car and hi-fi enthusiasts to patients suffering from a chronic disease, members in these online communities have a variety of objectives, including obtaining advice from experts, understanding the perception of the crowd regarding a product or service, and seeking support from others in dealing with a problem. Starting with electronic bulletin boards in the 1980s, online communities have been around for well over 35 years, though they include a wide variety of platforms today, including online forums, social…

Aadit Barua

Freshman (F2021), UT Austin. interested in ML, NLP & network analytics applications. Writer for CodeX, TheStartup, TowardsDataScience & TowardsAI.

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