Our sector-wide research suggests that natural language processing NLP is one of the more common AI approaches in banking AI use-cases today. Sentiment analysis is a capability of NLP which involves the determining whether a segment of open-ended natural language text which can be transcribed from audio is positive, negative, or neutral towards the topic being discussed. AI-based sentiment analysis systems use NLP and machine learning to quantify as a positive number, negative number, or zero sentiments by looking for topics, themes, and categories within sentences. Large banks can use AI-based sentiment analysis software to gauge customer opinions about their brand or their products in an attempt to improve customer experiences. We worked with industry experts and PhDs in AI to categorize AI vendor products based on the technical type of artificial intelligence or machine learning behind an AI product. In our report, we defined an AI approach as the technical type of artificial intelligence or machine learning behind an AI product.
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Sentiment Analysis - Talkwalker
All analysis is done natively in Hebrew, leading to greater accuracy. It analyzes Hebrew data natively, without the need to translate any document into English, thus, giving more accurate and meticulously useful insights. Repustate's Hebrew sentiment analysis solution is made dedicatedly for the Hebrew-speaking world. The tool can be used to analyze data from any Hebrew source such as news, social media, blogs, reviews, and surveys. The solution has its own dedicated Hebrew part-of-speech tagger, Hebrew lemmatizer, and Hebrew-specific sentiment models.
Sentiment analysis: What it is and how to use it to improve customer experiences
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Talkwalker adds sentiment information to all results, enabling you to manage risks with a technology that flags high risk posts in real time. Talkwalker's AI powered sentiment technology helps you find negative or snarky comments earlier. It can even detect basic forms of sarcasm, so your team can immediately react to all relevant posts. Does your team know which product feature really makes a difference for customers? Monitor industry and customer trends on a broad scale with our advanced sentiment technology to develop products that succeed.