LeIA | Adapted Inference ) is a fork of the VADER ( Valence Aware | Predictive Analytics library
kandi X-RAY | LeIA Summary
kandi X-RAY | LeIA Summary
LeIA (Lexicon for Adapted Inference) is a fork of the VADER (Valence Aware Dictionary and Sentiment Reasoner) lexicon and sentiment analysis tool adapted for Portuguese texts.
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Top functions reviewed by kandi - BETA
- Calculate sentiment score
- Check for specialidioms
- Compute the sentiment score of a sentence
- Compute sentiment valence based on the given item
- Check if the value is negative
- Calculate the sum of a word
- Remove sentiment related to the given words
- Returns True if input_words is negated
- Calculates the sum of sentiment scores for the given sentiment
- Simplify a question mark
- Normalize a score
- Simplify text
- Add punctuation to a text
- Return a list of words and emptons
- Return a dictionary of words plus punctuation
LeIA Key Features
LeIA Examples and Code Snippets
Community Discussions
Trending Discussions on LeIA
QUESTION
I'm developing a new website, with a multi-step form where the steps are all in separated divs. The problem is: when i click in the first button, it shows the second page, but then it goes back to the first. Here's my javascript code:
...ANSWER
Answered 2021-Dec-09 at 18:04You are using anchor
tab and so your page is getting refreshed. The page refreshes and so the first tab by default is visible again. Try removing the a
tag here:
QUESTION
so im trying to implement a search box with useState and useEffect. we have an array of objects and want to filter it according to our search term. here is my implementation:
...ANSWER
Answered 2021-Nov-13 at 07:49You just add toLowerCase mehtod to your filter function. just like this :
QUESTION
I have a tibble
(data.frame
) that I need to apply a number of type updates to. I have a readr
::col_spec
object that describes the desired types, but since the data does not originate as a csv file, I cannot use read_csv(..., col_types=cspec)
to apply the changes to the specified columns.
Since col_spec
is a data structure designed exactly to specify desired data types, I would nevertheless to use it directly as an input to a function that applies the changes for me, rather than writing a long custom script to apply the different columns. See the following example:
ANSWER
Answered 2021-Oct-13 at 18:59We may do this by extracting the elements from the object by looping overs the cols
QUESTION
I'm new to React and having some trouble displaying the data I want. I'm building a very basic search and filter app and I'm stuck. All of the data is coming from App.js
I can search by "name" just fine. I'm having trouble filtering by "name", "dob" and "gender".
How do I do that correctly with the code I have?
App.js
...ANSWER
Answered 2021-Sep-25 at 23:40From what I understand you want to check if the keyword
is matching name
, dob
, or gender
. You need to modify your filter
function like this, you just need to check if the keyword is matching any of the three desired properties.
QUESTION
I have a table called 'names':
...ANSWER
Answered 2021-Jul-15 at 11:28You must use this query:
QUESTION
Using the starwars
dataset, below is a minimal example of the issue I am facing.
My app has three selectInput
for filtering out a datatable. These selectInput
update each other depending on the selected value of the previous one.
The app also contains radio buttons for selecting type characters. When the radio button 'default' is clicked, the selectInput
should select the first value among the choices by default. However, when a radio button is a character (i.e. not 'default'), the selectInput
should update and select the value defining the character (through a reactive object info()
).
As a consequence of the change in selection of the selectInput
, the table should be filtered accordingly.
(The only constraint I have to follow here, is that I cannot use the dataset in the UI of the app.)
Here is the example app.
...ANSWER
Answered 2021-Jul-07 at 13:07It's probably due to a conflict between your choices and and selected.
For this type of thing I like to build a reactive chain, but observing both selects will also work. Change your observeEvent
(s) for species to:
QUESTION
I'm trying to use SimpleTransformers default setup to do multi-task learning.
I am using the example from their website here
The code looks like below:
...ANSWER
Answered 2021-May-30 at 17:54In the example code if you change
QUESTION
I'm trying to reproduce the following output of dplyr
code with R
package collapse
.
dplyr
Code
ANSWER
Answered 2021-May-01 at 19:28The fmean
by default uses na.rm = TRUE
. Also, there is an option to specify the grouping within fmean
i.e. g
. By default, TRA
is NULL
and it returns a summarised output, but we can change it to replace_fill
to return the full length
QUESTION
I have an HTML string where I'm trying to generate an array of all substring instances that occur between two sets of characters.
My string looks something like this:
...ANSWER
Answered 2021-Apr-18 at 10:24As mentioned in the comment using an XMLParser
here would be a good idea.
Define your XMLParser
, and set its delegate (XMLParserDelegate
) which is a class you define (inheriting from XMLParserDelegate
!). there you need two functions:
QUESTION
ANSWER
Answered 2021-Apr-07 at 07:33It's a broad question where multiple things can go wrong, I will try to answer the most common use case but it will need some effort on your side to debug and find the bug(s).
A few insights beforeWhen dealing with Algolia + Gatsby, you are delegating to Algolia the responsibility of paginating, show/hide/render all certain posts, etc. So the following part, is redundant, should be removed:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install LeIA
You can use LeIA like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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