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Bytesview made it easier for us to bring our customers to the forefront by introducing new customer-focused services based on their feedback.
The team is extremely friendly and helped us find innovative solutions to our problem
I've been using Bytesview for a few weeks now and I really like it! It is straightforward and easy to analyze the feedback data collected and gain a better understanding of our customer base.
The tool's data processing was simple, and the results were accurate.
BytesView's in-depth data analysis enabled me to extract personalized insights for my research project. They collected text data from various websites, translated user sentiment, and extracted various keywords for me, which was incredibly helpful during my research.
Moreover, their team was extremely helpful to me throughout the process.
Based on our record, spaCy seems to be a lot more popular than BytesView. While we know about 58 links to spaCy, we've tracked only 2 mentions of BytesView. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It is also not a task that a team of analysts, no matter how large or dedicated, could reasonably be expected to perform, at least not without outside assistance. Even for organizations that are in the business of selling competitive intelligence platforms (many of which are Bytesview customers), this is not a viable option. Source: about 2 years ago
News monitoring services, powered by a sentiment analyzer, and News API are more necessary than ever when every action of a company, its employees, brand ambassadors, or even the organizations with which it is associated is subject to scrutiny, which in turn undermines the financial stability of the company. Source: over 2 years ago
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):. - Source: dev.to / about 1 month ago
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 5 months ago
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy. - Source: dev.to / 6 months ago
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / 8 months ago
I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 10 months ago
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