Question 1

Why would I use ABSA / Opinion Mining?

Accepted Answer

Unstructured text data, like customer reviews, employee feedback, or answers to open-ended questions in questionnaires, exist in huge quantities today. Digging through this treasure chest of data has long been nearly impossible. Through text analysis solutions such as sentiment analysis, you can get a good impression of the data.

Using aspect-based sentiment analysis (ABSA), you can get an even better picture and derive actionable insights from your data. With DeepOpinion Studio, you can access the leading AI solution for Opinion Mining and the highest number of pre-trained industry models. Start making sense of your text data and gain a competitive advantage.

Question 2

What is AI?

Accepted Answer

Artificial Intelligence is the science of making machines "bright". It is based on the principle that human intelligence can be defined in a way that a machine can easily mimic "cognitive" behavior such as problem-solving or learning. The fields of application are endless. Goals include learning, reasoning, and perception.

Question 3

What is Machine Learning?

Accepted Answer

ML or Machine Learning is an AI application (Artificial Intelligence) and refers to algorithms that automatically improve themselves through experience. Those ML algorithms are used where it is hard/impossible to use conventional ones and therefore are applied in various fields. In a business context, ML is often referred to as predictive analytics.

Machine Learning can be either supervised or unsupervised.

Question 4

What is Opinion Mining?

Accepted Answer

Sentiment analysis is the technique to programmatically distinguish positive from negative (or neutral) opinions in textual data. It finds applications in various areas with various uses, e.g., to analyze the public opinion about a large enterprise.

Our AI goes one step further than usual sentiment analysis solutions by taking the sentiment into account. Thereby we manage to outperform international benchmarks. See for yourself in our no-code DeepOpinion Studio, where you can also find the highest number of pre-trained industry models.

Question 5

What is supervised learning?

Accepted Answer

In supervised learning, you have an input variable, a (correct) output variable, and an algorithm trying to map the function from input to output. It's called "supervised" as the process of learning with a correct example is similar to a teacher supervising the learning process.

The goal is to train the function so that it automatically arrives at the correct output for any given input.

In contrast, there is unsupervised learning, where only input variables exist. As there is no correct answer, algorithms are left on their own to discover and present exciting structures in the data (patterns).

Question 6

What is Deep Learning?

Accepted Answer

Deep Learning is a Machine Learning method based on Artificial Neural Networks (ANN). It is called "deep", because of multiple layers in the network and imitates the data-processing and pattern-creating work of the human mind. Deep Learning AI can learn without human supervision, and we use it for a variety of fields.

Question 7

What is Text Analysis?

Accepted Answer

Text analysis or text mining describes the process of computational text analysis. In contrast, Text Analytics, which differs subtly, is about bringing textual content to a level to be represented as data to be mined for insights/patterns. In its simplest form, Text Analysis is about counting words and the relationship between them.

Question 8

What is NLP / NLU?

Accepted Answer

As high as the value of making computers understand real-world language is, it is as complex as it is for them to comprehend it and take action truly. Therefore the field of NLU/NLP is quite old and dates back to the 1950ies.

Both concepts deal with the relationship of natural language (of humans) to AI (Artificial Intelligence) and share the common goal of making sense of language. NLP focuses on how computers can constructively process natural language. WE apply it in speech recognition, natural language understanding as well as natural language generation. NLU is a subtopic of NLP, focusing on machine reading comprehension. In other words: understanding what text means.

Only a few computer programs can make real sense of textual data. Our AI, one of them, can understand textual context, making it possible for DeepOpinion to offer best-in-class Opinion Mining.

Question 9

What is a Neural Network?

Accepted Answer

Neural Networks are composed of various layers and form the base of Deep Learning. They take in data, train themselves to recognize patterns, and generate an outcome. Amongst the training process, the connections between the different layers adapt ("learn") to better predict the result for a similar set of data.

The applications of NNs are far-fetched and can already be seen in everyday life (i.e., facial recognition or financial forecasting).