The Covid-19 pandemic has changed our lives almost entirely. We started wearing masks in public, working from home with family instead of our colleagues, and use hand sanitizer a lot more often than we did before the pandemic hits.
As more countries begin rolling out Covid-19 vaccines, we starting seeing people sharing their experiences or side effects after getting the vaccine shot online.
In this article, we will use Natural Language Processing (NLP) to analyze people’s reactions towards the Covid vaccine by using tweets with #vaccineSideEffect.
The dataset we are using has about 480 tweets with the hashtag “#vaccineSideEffect,” which…
This article is part of Project NLPnStock, where I document my journey using Natural Language Processing techniques to analyze and predict trends in the stock market.
In today’s article, we will look at DocuSign (DOCU) FY 2022 Q1 earning calls text data.
Natural Language Processing (NLP) is a subfield of artificial intelligence that deals with the interaction between computers and humans. Some popular NLP techniques are word frequency modeling, keyword extraction, sentiment analysis, and topic modeling (using machine learning).
In earnings call meetings, the management of a public company discusses the company’s financial results with external parties. …
The frenzy around GameStop’s stock has quieted down, but the outsized small investors are here to stay.
Recap of the Gamestop Saga: A Wall Street hedge fund had placed a big bet that America’s biggest chain video game retailer was on the verge of failure, and users from a subreddit called WallStreetBets rushed in to buy stock and force the hedge fund to cover their positions, thereby costing the fund billions of dollars in the process and driving the stock price up in what’s called a “squeeze.”
In this article, we will look at the latest discussion posts in r/wallstreetbets…
Natural Language Processing (NLP) is a sub-field of Data Science to process and analyze unstructured text data.
In 2019, Barclays was already using machine learning tools to analyze company managements’ commentary in earnings calls. As the technology continues to gain momentum, we can expect to see more companies benefiting from NLP in the future.
In this article, we will try to identify and analyze word patterns of the three highest-paid CEOs (Tim Cook, Elon Musk, Tom Rutledge) through their commentary in their respective earnings calls.
The dataset used in this article consists of Earnings Calls in Quarter 4, FY2020 of…
In 2019, Elon Musk ran into trouble with the Securities and Exchange Commission (SEC) over his Twitter use when he tweeted that he has the plan to take Tesla private.
Moving forward to March this year, Musk was sued again due to his use of Twitter, this time by one of Tesla investors, stating that Musk’s tweeting behavior has cost the company billions.
Tweets analysis has always been a popular segment within the Natural Language Processing (NLP) field. In this article, we will use word-frequency and topic modeling techniques to analyze Musk’s tweets.
The dataset used in this article consists…
2020 has been unprecedented for many, including the automotive industry. Yet, Tesla has been defying big odds and beating expectations in this challenging year.
Tesla’s stock price surged more than 700% in 2020. The company started with about $85 per share in January, and at the end of the year, Tesla’s stock was standing at about $700 per share.
This article aims to gain insight into Tesla’s stock price surge in FY20 using various text mining techniques in R.
First, let’s look at the chart below that shows Tesla’s historical stock price movement labeled with quarterly earning calls release dates.
To buy, hold, or sell?
Here we are in 2021, wishing this year to be better than the odd and isolating year that just went by. We started the year by getting more people to get their Covid-19 vaccines. The outlook of going back to normal routine seems a little more promising. But just before the first month of a hopeful year ended, one particular stock, a dying brand, shook up Wall Street and became a ‘meme-stock.’
Gamestop (NYSE: GME), a brick-and-mortar gaming retailer, was in the spotlight in the American stock market frenzy. The retail chain has seen its…
New York City, one of the best dining destinations in the world. In this city, you can easily find thousands and thousands of restaurants for your foodie adventure. From Michelin restaurants to street food, the concrete jungle has them all.
But underneath the glamor and glitz, (and the fancy) restaurants, do people really know what goes behind the scene?
To find out more, I looked into the NYC restaurant inspection results to see if I could find anything interesting. You can find out more about the dataset here on NYC open data.
The dataset consists of almost 400k restaurant violations…
This article is part of an NLP series where I use text mining techniques to analyze earnings calls.
In today’s article, I will be analyzing Apple Inc’s earnings call in Financial Year 2020 with keyword extraction and frequency analysis techniques in R.
Earnings call transcripts from Quarter 1 to 4 of Financial Year 2020 released by Apple Inc were used for analysis. After obtaining the dataset, I used Microsoft Excel and RPA tools to pre-process it.