sentiment

Text everywhere! Since the Internet was spread around the world, the amount of textual data we generate everyday is ginormous. Only textual messages sent everyday, it is estimated that there are around 18 Billion of them circulating on a daily basis*.Now imagine the amount of news generated as well. It’s a so overwhelming amount that there are whole businesses built around news clipping, separating the best information about a given topic to help companies in their marketing strategies.How is AI helping that? Certainly,…

Arabica now offers a structural break and sentiment analysis module to enrich time-series text miningPhoto by Adam Śmigielski on UnsplashText data contains lots of qualitative information, which can be quantified with various methods, including sentiment analysis techniques. These models are used to identify, extract and quantify emotions from text data and have wide use in business and academic research. Since the text is often recorded on a time-series basis, text datasets might display structural breaks as the…

What Is Sentiment Analysis? In just 4 years, a whopping 6 billion users — that’s half of the world’s population — will be active on social media. And if you’re curious to know the time we spend on social media, it is a jaw-dropping 147 minutes daily. Any place where people spend so much time of their day is important from a business perspective. Many businesses realize this and invest heavily in analyzing data from social media. In most cases, businesses are concerned about the sentiments on social media regarding their…

ML Techniques for Analysing Macedonian Restaurant ReviewsGraphic by authorWhile machine learning models for natural language processing have traditionally focused on popular languages such as English and Spanish, less commonly spoken languages have seen much less development. However, with the recent rise in e-commerce due to the COVID-19 pandemic, even less commonly spoken languages like Macedonian are generating large amounts of data through online reviews. This has opened an opportunity to develop and train machine…

America's homebuilders are growing more bullish as buyer demand picks up, driven in part by slightly lower mortgage rates.Homebuilder confidence in the market for newly built single-family homes in February rose seven points to 42, according to the National Association of Home Builders/Wells Fargo Housing Market Index. This is the highest reading since September and the largest monthly gain since June 2013.Anything below 50 is considered negative, but sentiment had fallen to 31 in December. The index stood at 81 in…

As social media has become an essential part of people’s lives, the content that people share on the Internet is highly valuable to many parties. Many modern natural language processing (NLP) techniques were deployed to understand the general public’s social media posts. Sentiment Analysis is one of the most popular and critical NLP topics that focuses on analyzing opinions, sentiments, emotions, or attitudes toward entities in written texts computationally . Social media sentiment analysis (SMSA) is thus a field of…

Crypto fear and greed index compiles emotions and attitudes from various sources into a single, straightforward number The global crypto market’s price behavior is directly driven by sentiment in the crypto market. As a result, the market’s prevailing sentiments, which can be caused by a variety of factors, can ruin any investment strategy. The crypto fear and greed index can perform the job for individuals/businesses rather than attempting to conduct various forms of market analysis and speculating on how…

Builder sentiment in the single-family housing market posted an unexpected gain in January, rising for the first time in 12 straight months. Economists had predicted a slight decline.Sentiment rose 4 points to 35 on the National Association of Home Builders/Wells Fargo Housing Market Index. Anything below 50 is still considered negative sentiment. The metric stood at 83 in January 2022."It appears the low point for builder sentiment in this cycle was registered in December, even as many builders continue to use a variety…

The crypto market has been experiencing a prolonged bearish trend, referred to as the “crypto winter” since November 2021, resulting in a substantial decline of approximately 60%. However, in the early stages of 2023, indications of market recovery have emerged, with a majority of digital assets displaying significant trading activity. ETH/USDT 1H Chart  (Source: TradingView) The cryptocurrency Ethereum appears to be consolidating within a rising wedge formation when looking at the 1 Hour. Converging trendlines identify…

The new crypto project, Orbeon Protocol (ORBN), has gained significant enthusiasts quickly. It has shown a steady inclination in the price chart throughout its presale. Experts strongly favor investment in Orbeon Protocol (ORBN) in 2023 with 60x price projections.  World Cup Inu (WCI) and Dogecoin (DOGE) haven’t shown satisfactory progress just yet however the 2023 price prediction for either could be promising if indeed we’re near the bottom of the market. >>BUY ORBEON TOKENS HERE<< World Cup Inu (WCI)…