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The importance of domain adaption in sentiment analysis Domain
Encode General Domain

Financial Sentiment Analysis

financial analysis

Given a piece of text, output either a positive, negative, or neutral sentiment value.

Large Language Models(LLM) like BERT and GPT are designed to help computers understand the meaning of ambiguous language in text by using surrounding text to establish context. However, most of the open sourced models are generic in nature and lack domain specificity. For instance, the BERT framework was pre-trained using text from Wikipedia and can be fine-tuned with various tasks including sentiment analysis.

Select One Option

Results

General Purpose Bert

negative

23.2%
Positive
34.5%
Neutral
42.3%
Negative
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The Bristol Port Company has sealed a one million pound contract with Cooper Specialised Handling to supply it with four 45-tonne, customised reach stackers from Konecranes
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positive

Selected sentence has a Positive sentiment.

negative

But general purpose BERT predicted Negative.

Results

General Purpose Bert

negative

26.8%
Positive
31.5%
Neutral
42.0%
Negative
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sold out $tza 45 $put (down $1), which were hedging my 45 $call. letting the calls ride solo now.
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positive

Selected sentence has a Positive sentiment.

negative

But general purpose BERT predicted Negative.

Results

General Purpose Bert

negative

15.8%
Positive
31.0%
Neutral
53.2%
Negative
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The deal is subject to approval by the Norwegian competition authorities
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positive

Selected sentence has a Positive sentiment.

negative

But general purpose BERT predicted Negative.

SambaNova GPT_Banking

Domain Specific Workflow

We propose SambaNova GPT_Banking, a purpose-built, domain-specific language model for the banking and financial services industry.

gpt banking gpt banking

Domain Adaptation Training Using Dataflow-As-A-Service™

gpt banking gpt banking gpt banking
Achieve state-of-the-art results in NLP with SambaNova's ML technology.

Schedule a meeting

Learn how SambaNova can advance your AI initiatives to help you achieve your impossible.
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Customers turn to SambaNova to quickly deploy state-of-the-art AI capabilities to meet the demands of the AI-enabled world. Our purpose-built enterprise-scale AI platform is the technology backbone for the next generation of AI computing. We enable customers to unlock the valuable business insights trapped in their data. Our flagship offering, SambaNova Suite, overcomes the limitations of legacy technology to power the large complex foundation models that enable customers to discover new services and revenue streams, and boost operational efficiency. Headquartered in Palo Alto, California, SambaNova Systems was founded in 2017 by industry luminaries, and hardware and software design experts from Sun/Oracle and Stanford University. Investors include SoftBank Vision Fund 2, funds and accounts managed by BlackRock, Intel Capital, GV, Walden International, Temasek, GIC, Redline Capital, Atlantic Bridge Ventures, Celesta, and several others.
Our Headquarters:
2200 Geng Road, Unit 100
Palo Alto, CA 94303
(650) 263-1153
Terms & Conditions Privacy Policy
Copyright © 2024 SambaNova
Systems, Inc. All rights reserved