How does Armenian NLP work?
- Tokenization. Tokenization is the process of breaking down text into individual words or tokens, which helps in understanding the structure and meaning of sentences in Armenian.
- Named Entity Recognition (NER). NER identifies and classifies key entities in text, such as names of people, organizations, and locations, which is essential for information extraction in Armenian text.
- Sentiment Analysis. Sentiment analysis evaluates the emotional tone behind words to determine if the sentiment in Armenian text is positive, negative, or neutral, aiding in opinion mining.
- Machine Translation. Machine translation uses statistical and machine learning models to convert text from Armenian to other languages and vice versa, facilitating global communication.
