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Repustate's sentiment analysis API is powered by Swedish natural language processing (NLP). It analyzes Swedish data natively, without the need to translate any document into English, thus, giving more accurate and meticulously useful insights.
Repustate's Swedish sentiment analysis solution is made dedicatedly for the Swedish-speaking world. The tool can be used to analyze data from any Swedish source such as news, social media, blogs, reviews, and surveys.
The solution has its own dedicated Swedish part-of-speech tagger, Swedish lemmatizer, and Swedish-specific sentiment models. It also understands colloquial words and industry jargon. Swedish natural language processing, coupled with named entity recognition (NER), helps it identify topics and themes in the data for more granular sentiment analysis, leading to key business insights.
The Repustate Swedish Sentiment Analysis solution is made specifically for Swedish customizable and can be calibrated to be an exact fit for your business. Listed below are the main advantages of the tool:
The Repustate model has the highest accuracy in NER compared to other tools. It is not an off-the-shelf product, but a highly personalized, scalable solution with dedicated customer support. Here is why our clients worldwide (NA, EMEA and Asia Pacific) collaborate with us.
Repustate has developed sentiment language models specific to Swedish to capture the various phrases, idioms, and expressions that help define certain sentiments. It turns unstructured Swedish data into business intelligence you can use to increase your value proposition, brand experience, and value delivery.
Repustate has a massive corpus of Swedish text that has been tagged manually, as the first step towards Swedish sentiment analysis. This corpus is then processed by an ML model for high precision in aggregate sentiment scoring. The steps can be laid out as:
Repustate uses Swedish Named Entity Recognition (NER) with advanced semantic search to identify brand and business entities in data. No matter how misspelled a word is, the Swedish NLP model will reproduce the name in the native script and give accurate name search, transliteration, and identity verification measures. This gives high-accuracy ranked results, based on the linguistic, phonetic, and specific cultural variation patterns of the names.
Trying to achieve Swedish sentiment analysis by using an API that uses translations can yield incorrect results. So, the answer is, no. As your Swedish sentiment analysis company, Repustate, uses intricate Swedish NLP for higher accuracy in sentiment scoring of your data. This is because translations dilute the nuance of a statement. If a text has multiple topics, sentiments, and themes, as reviews and comments usually do, the aggregate semantic score of the data (+1 for positive, and -1 for negative) will be inaccurate with translations.
Repustate's Swedish sentiment analysis API helps you get useful insights through Social media listening from Facebook, Twitter, Instagram, and even video-based platforms like TikTok and YouTube. This is very useful to brands who want to capture sentiments around specific facets of their business, product line, or service.
Sentiment analysis from news streams is really easy with Repustate's Sentiment Analysis API. Whether you want Swedish NLP analysis for employee surveys or product reviews, our tool gives you relevant insights. Furthermore, its visualization dashboard converts the data into charts, graphs, and tables, so you can understand the data easily.
Companies dedicate a large number of resources to understanding their customers by running feedback campaigns in their stores, social forums, mobile apps, and websites. Repustate's Swedish Voice of Customer analysis helps you make sense of all that data.
From policy decisions to bad customer service, whatever the issue may be, people share this information with the world. This data can be vital to a government body, or a company looking to improve its brand perception and market share.
Repustates's Swedish sentiment analysis API is made for the Swedish language and its dialects. Powered by Swedish NLP, the solution gives you accurate and fast insights through aspect based sentiment analysis of your data. Here are some real-world examples of how Repustate has provided Swedish sentiment analysis to organizations in various industries.
A Malmö-based healthcare corporation wants to understand the doctor-patient relationship to make the whole system more sensitive towards healthcare, Repustate's Swedish sentiment analysis API can enable them to semantically identify various aspects related to doctor-patient interaction and sentiment related to those aspects. With Repustate, this Malmö-based healthcare system can unlock the advanced applications of NLP in Healthcare and have the answers they've been searching for in half the time it would have taken before.
A Stockholm-based financial corporation realizes that it's not good for business if they are unable to monitor global financial and stock market news accurately and fast. Since even names of companies change when the news is in a foreign language, the company realizes it is missing out on vital information in an industry that thrives on quick decision-making. Repustate's Swedish sentiment analysis tool provides them with a highly-precise, customized, stock sentiment analysis solution powered by Swedish NLP. Our sentiment analysis solution gives them insights into market sentiment based on price movements of securities traded, as well as financial news coverage in all major languages. They also leverage the real-time dashboard that shows market sentiment scores and share prices for different debt instruments and equities in an easy-to-understand format.
A public transport agency from Gothenburg wants to improve its service and brand perception and approach Repustate with the problem. They want to provide better service by addressing negative feedback and restructuring resources. They want to have an authentic and detailed understanding of the sentiment of daily commuters using public modes of transport. Repustate's Swedish sentiment analysis API helps them understand their data. By applying Swedish natural language processing techniques to all the reviews and comments gathered from public forums, Repustate's solution is able to give them useful insights they can use to achieve their goals.
Repustate's Enterprise Search automatically annotates your Swedish data with semantic information. This includes relevant entities, topics, and entity-specific metadata. You can search all metadata associated with any given entity that Repustate finds by market cap or industry type for business, or perform your search by nationality. Over 100 metadata properties can be searched, and all of them can be automatically determined by Repustate's Swedish Enterprise Search.
Grammatikregler varierar mellan språk. Reglerna vad gäller verbformer, kongruensfel och negationer varierar mellan olika språk.
Svenskan är ett unikt språk och skiljer sig från engelskan på flera sätt. Om du skulle använda samma tillvägagångssätt och samma språkmodeller som fungerar vid engelsk attitydanalys, skulle resultaten vara oerhört opålitliga.
Därför har Repustate tagit fram svenskspecifika verktyg för att underlätta i svensk attitydanalys, inklusive en svensk del av ordklasstaggning, en svensk lemmatiserare, och självklart svenskspecifika attitydmodeller.
Den svenska delen av ordklasstaggningen gör det möjligt för Repustate att smalna av där attityden ligger i en text. Verb, substantiv och adjektiv ger en antydan om attityden.
För att skapa en snabb och precis svensk del av ordklasstaggningen måste man ha en stor mängd manuellt taggad text på svenska. Den svenska texten kan då matas in i en maskininlärd algoritm och skapa en svensk del av ordklasstaggning.
Ju större textmängd och, ännu viktigare, ju mer variation textmängden har, desto bättre blir resultaten när den svenska delen av ordklasstaggningen skapas. Repustate har lagrat en väldigt stor textmängd på svenska genom data från många olika källor för att säkerställa god täckning.
Repustate har utvecklat modeller för attityder specifikt för svenska för att fånga olika fraser, bildliga uttryck och andra uttryck som hjälper till att avgöra attityden när man skriver på svenska. Genom att förstå olika grammatiska aspekter som gör svenska språket unikt och särskiljer sig från engelskan kan Repustates svenska attitydmodell vara så snabb och så precis som den är.