Learn how Amenity Analytics’ NLP expertly handles the nuances and sophistication of human language. Amenity's unparalleled accuracy helps businesses make better decisions.
Thematic Sentiment (sometimes called "opinion mining") can be simply defined as the process of identifying and categorizing opinions found within text documents. In the broadest terms, thematic sentiment gauges the predominant opinion (whether positive, negative, or neutral) toward a subject of interest (commonly referred to as an “entity”) such as people, places, organizations, locations, and things.
This process often reveals valuable data that organizations can then use to guide their business strategies. For example, thematic sentiment analysis can be used to evaluate and analyze SEC filings, earnings call transcripts, corporate documents, and articles in the financial press.
Today's organizations have access to huge streams of text data: documents, discussions, reviews, blogs, news articles, and more.
While there are valuable nuggets of information waiting to be uncovered within these data streams, the process of sifting, sorting and analyzing all of this information is no small feat. It requires a significant outlay of time and money, not to mention the knowledge of a domain expert to interpret the data correctly.
So how do organizations surmount these obstacles? By using AI-driven solutions that can extract usable insights from any text data source at scale, while also displaying a sophisticated understanding human language.
Using Amenity’s suite of NLP solutions, we created a Coronavirus Tracker that analyzes news and earnings call transcripts to assess how public health outbreaks like the COVID-19 epidemic affect business operations and economic conditions.
Using Amenity’s suite of NLP solutions, we created a Health Epidemic Tracker that analyzes earnings call transcripts to assess how public health outbreaks like the coronavirus epidemic affect business operations and economic conditions.
We leveraged our NLP model to create the Amenity Coronavirus Tracker dashboard – a live feed which searches for relevant insights into the virus’ investment implications contained within news sources and earnings call transcripts. We highlight findings impacting retail, food delivery and teleconferencing.
As the rapid spread of the Coronavirus (COVID-19) has wreaked havoc on the economy and stock market of late, Restaurants have been one of the most affected sectors. However, using our NLP platform we have taken note of a theme that underlies the fear surrounding the virus: an uptick in positive commentary regarding Restaurant margins prior to the outbreak of the virus in the US.
We share our thoughts on Tesla and examine where TSLA’s Amenity Score has tracked since the start of 2017 in comparison to US Equities and the Automobile Manufacturers GICS Sub-Industry
We used the Amenity NLP Platform over the last three quarters to generate extractions regarding CapEx across the E&P sector. The results appear to show that E&P management teams and analysts are more focused on capital restraint, as both event counts and net polarity with regard to CapEx have trended positively since Q2’19. This data points to capital restraint being the first step toward investors taking a more constructive stance on the E&P sector which overall will be a wise path for the industry.
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