Sarcasm detection is, inherently, a non-trivial problem where people express negative sentiment using positive insinuation words. Traditional approaches, in general, rely on the textual information to detect the incongruity between the surface meaning and the actual meaning. However, textual information ...
Because, let’s face it, computers can’t quite catch the wry smile or the eye roll that comes with sarcasm — not yet, anyway. Ambiguity is sarcasm’s close cousin. It’s the joy of poets and the bane of emotion detection. A simple phrase like “That’s interesting…” could denote...
Sarcasm and Irony: Detecting sarcasm or irony in the text is difficult for machines. Low-Resource Languages: NLP models often struggle with languages that have limited digital resources. The Future of NLP The future of NLP is incredibly promising. Here are some trends and advancements to watch ...
real hard part. Almost all of the notifications I see about adapting to future challenges are paid for by a vendor that has clearly solved the entire problem and no one can survive without their product (sarcasm). It’s hard to focus the limited budget and staff on the long term issues....
Sentiment analysis is the process of analyzing large volumes of text to determine whether it expresses a positive, negative or neutral sentiment.
Natural language processing (NLP) technologies provide speech recognition and speech-to-text capabilities along with speech output or text-to-speech capabilities.NLPtechnologies detect vocal inflections, such as stress or sarcasm, adding context to the processing. ...
Of course, an important component of human intelligence is something that AI hasn't been able to replicate yet: context. For example, Google AI lacks real-world logic and can't discern human subtleties like sarcasm and humor, as evidenced by the technology advising you toadd glue to pizza ...
This is known as lexical ambiguity. Similarly, it's difficult to train systems to identify irony and sarcasm, and this can lead to incorrectly labeled sentiments. Algorithms have trouble with pronoun resolution, which refers to what the antecedent to a pronoun is in a sentence. For example, ...
This type of annotation is used to train AI models to recognize and categorize images automatically. Object Recognition/Detection – Object recognition, or object detection, is the process of identifying and labeling specific objects within an image. This type of annotation is used to train AI ...
Can monitoring occur without detection? Typically, something needs to be detected first before it can be monitored, though monitoring might aim at detecting changes. 15 Is detection always a technological process? Not always; detection can also be manual or intuitive, depending on the context. 15...