Datastreamer Community Archives - Datastreamer Data Pipelines for Unstructured Data Fri, 17 Jan 2025 23:17:48 +0000 en-US hourly 1 https://datastreamer.io/wp-content/uploads/2022/04/cropped-DATASTREAMER-2048x331-1-32x32.png Datastreamer Community Archives - Datastreamer 32 32 How to query multiple social media sources at once? https://datastreamer.io/how-to/how-to-query-multiple-social-media-sources-at-once/ Fri, 17 Jan 2025 23:12:55 +0000 https://datastreamer.io/?post_type=how-to&p=42836 Managing queries across multiple social media sources is no easy task. From juggling different APIs and pricing models to handling performance inconsistencies, the process can be both time-consuming and costly – especially as self-scraping becomes increasingly costly and challenging, particularly in the era of large language models (LLMs). Datastreamer helps you simplify this process. Our […]

The post How to query multiple social media sources at once? appeared first on Datastreamer.

]]> Managing queries across multiple social media sources is no easy task. From juggling different APIs and pricing models to handling performance inconsistencies, the process can be both time-consuming and costly – especially as self-scraping becomes increasingly costly and challenging, particularly in the era of large language models (LLMs).

Datastreamer helps you simplify this process. Our Jobs API works with various data providers and enables you to run queries on profiles or keywords with precision. It offers advanced filtering options and centralized control, while giving you the ability to adjust query frequency, track errors, and monitor performance efficiently. With Datastreamer, multi-platform data collection and querying becomes streamlined and hassle-free.

The post How to query multiple social media sources at once? appeared first on Datastreamer.

]]> How to detect return intent in online reviews? https://datastreamer.io/how-to/how-to-detect-return-intent-in-online-reviews/ Fri, 17 Jan 2025 22:02:10 +0000 https://datastreamer.io/?post_type=how-to&p=42823 Determining whether customers intend to return to a product or a service based on their reviews requires sentiment and intent analysis. With Datastreamer, you can create a powerful pipeline to fetch content from multiple review data sources simultaneously. Utilizing the Unify Schema component standardizes all incoming data and allows you to add content analysis operations […]

The post How to detect return intent in online reviews? appeared first on Datastreamer.

]]> Determining whether customers intend to return to a product or a service based on their reviews requires sentiment and intent analysis.

With Datastreamer, you can create a powerful pipeline to fetch content from multiple review data sources simultaneously. Utilizing the Unify Schema component standardizes all incoming data and allows you to add content analysis operations to your pipeline. There are multiple operations which can be used individually or in combination to analyse intent. Finally, the AI Sentiment Classifier and Intent Classifier can be used together to identify positive and negative intent within review text.

The post How to detect return intent in online reviews? appeared first on Datastreamer.

]]> How to infer location from social media content? https://datastreamer.io/how-to/how-to-infer-location-from-social-media-content/ Fri, 06 Dec 2024 21:54:30 +0000 https://datastreamer.io/?post_type=how-to&p=42252 To address the challenges of detecting location on social media content, our data scientists have developed a unique Location Inference Classifier. This tool analyzes the text content of a post using a machine learning algorithm, trained on millions of posts, which predicts an original location along with a corresponding probability of accuracy. Datastreamer’s location classification […]

The post How to infer location from social media content? appeared first on Datastreamer.

]]> To address the challenges of detecting location on social media content, our data scientists have developed a unique Location Inference Classifier. This tool analyzes the text content of a post using a machine learning algorithm, trained on millions of posts, which predicts an original location along with a corresponding probability of accuracy.

Datastreamer’s location classification models are offered as easy-to-use components that can be integrated directly into your data pipeline to help analyze and classify social media content.

The post How to infer location from social media content? appeared first on Datastreamer.

]]>