AI for B2B Lead Generation in the Finance Sector: A Case Study

[fa icon="calendar'] Jun 6, 2019 4:04:14 PM / by Bitext posted in API, Machine Learning, NLP, Semantic Analysis, Sentiment Analysis, Big Data, Bitext, Deep Linguistic Analysis, Natural Language, Text Analytics, Text Categorization, Artificial Intelligence, Deep Learning, Phrase Extraction, NLU, AI, Entity extraction, NLP for Core, Finance, Banking

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What is the best way to generate leads in the finance sector? Digital strategies such as webinars, content marketing or paid social advertising may give great brand visibility, but are they actually initiating consumer inquiries into your products or services? If you really want higher economic outputs, it’s time to hit the target! Learn how Bitext AI solutions helped one of the leading German banks to boost its sales.

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Chatbots and Customer Service: Why Do Chatbots Fail?

[fa icon="calendar'] May 30, 2019 6:25:00 PM / by Bitext posted in API, Machine Learning, NLP, Semantic Analysis, Sentiment Analysis, Big Data, Bitext, Deep Linguistic Analysis, Natural Language, Text Analytics, Text Categorization, Artificial Intelligence, Deep Learning, Chatbots, Phrase Extraction, NLU, POS tagging, AI, Entity extraction, NLP for Core

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Although chatbots have become quite popular in recent years, there is still room for improvement. A well-trained chatbot must correctly react to any query sent by a user creating a successful human-like conversation. Is that happening? We don’t think so.


Round-the-clock service, cost reduction and delivering a better customer experience are, among others, the main benefits of chatbots for customer service automation. If you are thinking of setting up a conversational agent to take care of your customers, it’s all-important for you to know not only the bright side, but also the dark one. You just can't spin up a basic chatbot and expect it to work well.

 

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Natural Language Processing (NLP) vs. Machine Learning

[fa icon="calendar'] May 20, 2019 5:06:17 PM / by Bitext posted in API, Machine Learning, NLP, Semantic Analysis, Sentiment Analysis, Big Data, Bitext, Deep Linguistic Analysis, Natural Language, Text Analytics, Text Categorization, Artificial Intelligence, Deep Learning, Chatbots, Phrase Extraction, NLU, POS tagging, AI, Entity extraction, NLP for Core, NLP for CX

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Two concepts, one mission: to make machines understand humans. Natural Language Processing (NLP) and Machine Learning (ML) are all the rage right now, but people tend to mix them up. In this post, there will be a distinction between these two different but complementary terms in the field of Artificial Intelligence.

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What is Sentiment Analysis and How Does it Work?

[fa icon="calendar'] Apr 5, 2019 12:52:06 PM / by Bitext posted in API, Machine Learning, NLP, Sentiment Analysis, Big Data, Bitext, Natural Language, Text Analytics, Text Categorization, Chatbots, NLU, NLP for CX

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Sentiment Analysis is a procedure used to determine if a chunk of text is positive, negative or neutral. In text analytics, natural language processing (NLP) and machine learning (ML) techniques are combined to assign sentiment scores to the topics, categories or entities within a phrase.

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Google Home in Spanish: An Incomplete Understanding

[fa icon="calendar'] Aug 21, 2018 4:41:07 PM / by Bitext posted in Machine Learning, Bitext, Natural Language, Artificial Intelligence, NLP for Chatbots

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Google’s smart speaker, Google Home, has recently learned a new language. Launched at the end of June this year, Google Home is now speaking Spanish. As real as life itself, Spanish speakers can now listen to all summer hits without lifting a finger, or even look for restaurants nearby by indirectly saying, ‘Ok Google, tengo hambre’. This language update may serve to gain ground in the market of artificial intelligence-powered devices since Spanish is the second most widely spoken language in the world. Notwithstanding, Google Home's Spanish skills leave much to be desired. Bitext team has been testing it and, as a matter of fact, there is still room for improvement.

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Can lemmatization and POS tagging improve your Deep Learning solution?

[fa icon="calendar'] Mar 28, 2018 4:39:00 PM / by Bitext posted in Machine Learning, NLP, Deep Learning, POS tagging, NLP for Core

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Although Machine Learning algorithms have been around since mid-20th century, this technology along with Deep Learning is the newest popular boy in town, with good reason. Due to recent advances in computing power and data availability, they're being more and more used to perform astonishing tasks.

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