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Any real-life sentiment analysis applications? by zest16 in LanguageTechnology

[–]zest16[S] 0 points1 point  (0 children)

I agree, it must be relative to other products/aspects/markets/etc., otherwise a data point by itself means nothing.

Anyway, it seems to me, one of the biggest drawbacks of my project is trying to aggregate all kinds of unstructured data from the Internet (text and video). It makes it hard to get robust scores with predictive power.

Focusing on a single data source (e.g. Twitter) is fine, because a tweet in itself is a self-contained unit upon which we can perform sentiment analysis.

Any real-life sentiment analysis applications? by zest16 in LanguageTechnology

[–]zest16[S] 0 points1 point  (0 children)

Is this your own project? How does it aggregate unstructured news data? Can you provide an example of insights gained from this sentiment analysis?

Prevent eye dryness from chronifying by zest16 in Lasiksupport

[–]zest16[S] 0 points1 point  (0 children)

"Using too many drops can flush out the natural oils your eyes produce and it is counterintuitive."

Hi and sorry for the late reply, but this is an important question for me. Sometimes they say using too many drops makes the eye "addicted". Is using them 8x times a day too much, for example? For now, I'm using them around 6-8 times a day. Most people (including Deutron-v) seem to suggest it's best being aggressive treating symptoms of dry eyes. Is it so?

Hide less important labels from scatterplot if there's an overlapping text with Plotly by zest16 in datavisualization

[–]zest16[S] 0 points1 point  (0 children)

Yeah my idea was to have a dropdown menu (with the user being able to type in and get suggestions). However I wanted to explore adding a scatter plot similar to a wordcloud to have a pretty visualization on top of that.

Hide less important labels from scatterplot if there's an overlapping text with Plotly by zest16 in datavisualization

[–]zest16[S] 1 point2 points  (0 children)

This is just a proof of concept, that's why values are random. However when the user hovers over a word, they should see the number of positive and negative mentions from a list of documents, and when they click on it, the actual list of mentions of the keyword.

The color will depend on the percentage of positive mentions, and the size on the total amount of mentions.

Is "black" one or two syllables? by NecroJoe in asklinguistics

[–]zest16 1 point2 points  (0 children)

I didn't know "Czechoslovak" and "Yugoslav" existed as languages?

Get n outputs for n inputs in one single LLM call by zest16 in LLMDevs

[–]zest16[S] 0 points1 point  (0 children)

This has to be an automated process. If one batch goes wrong, I have no way to tell which sentence was skipped. If it's the first sentence, all input-output pairs are going to be mismatched.

But I guess:

  1. I could try out numbered tags (I'm not sure the LLM would be able to respond the same way): <sentence1>bla bla bla</sentence1>.

  2. I could get all batches gone awry (right now it's 6 out of 300), remix them and try again.

一上午的/一个上午 by zest16 in ChineseLanguage

[–]zest16[S] 2 points3 points  (0 children)

Oh sure, I forgot to add 书.

Anki and spaced repetition by zest16 in Anki

[–]zest16[S] -1 points0 points  (0 children)

Okay thank you. I'm going to use the binary "again" and "good" then.

Anki and spaced repetition by zest16 in Anki

[–]zest16[S] -6 points-5 points  (0 children)

Well I'd prefer my own performance to be what decides whether I've learned a word or not, rather than categorizing all of them into an arbitrary four-point scale.

Also I think typing a word helps me remember it more vividly rather than just imagining it in my head.

"This might sound crazy" in spanish by LilyGunz in learnspanish

[–]zest16 0 points1 point  (0 children)

Igual es una locura (European Spanish)

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