BytesView VS FuzzyWuzzy

BytesView Reviews

1. CharlesStevens78    

   over 2 years ago
   Helpful for small businesses

   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

   👍 Pros:    Support team always ready
2. Victor Meyer    

   over 2 years ago
   Valuable analysis tool

   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.

   🏁 Competitors: monkeylearn, Keatext, Talkwalker

   👍 Pros:    Easy to use|Easy integration|Powerful analytics
3. ShannonFrancis89    

   almost 3 years ago
   All text analysis tools in a single place.

   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.

   🏁 Competitors: monkeylearn

   👍 Pros:    Data accuracy|Creative insights|Powerful analytics|Support team always ready

   👎 Cons:    Takes time to setup interface

FuzzyWuzzy Reviews

BytesView mentions (2)

• How to Use the Newsdata.io News API to Boost Competitive Intelligence

  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 Using AI-based Sentiment analysis tool

  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

FuzzyWuzzy mentions (11)

• Need help solving a subtitles problem. The logic seems complex

  Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago

• Thanks to this sub, we now have an Anki deck for Persona 5 Royal. Spreadsheet with Jp and Eng side by side too.

  Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago

• Fuzzy search

  It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: almost 2 years ago

• I made a bot that stops muck chains, here are the phrases that he looks for to flag the comment as a muck comment. Are there any muck forms I forgot about?

  You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago

• How would you approach this

  To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: over 2 years ago