ATN | Attention Transfer Network for Aspect-level Sentiment | Predictive Analytics library
kandi X-RAY | ATN Summary
kandi X-RAY | ATN Summary
ATN is the proposed model in 《Attention Transfer Network for Aspect-level Sentiment Classification》, which is accepted by Coling'2020.
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Top functions reviewed by kandi - BETA
- Load input file for training
- Load word - id mapping from file
- Load target_id and target_len
- Convert y to onehot
- Position attention layer
- Softmax function
- Binary RNN
- Reduce a tensor by a given length
- Load twitter position
- A bilinear attention layer
- Multi - layer attention layer
- Attention layer
- Load input file
- Loads a test text file
- Pre - train function
ATN Key Features
ATN Examples and Code Snippets
Community Discussions
Trending Discussions on ATN
QUESTION
I am trying to connect my MQTT Broker using Paho library. But now I am stucking with this error. My code is below:
...ANSWER
Answered 2021-Jun-02 at 20:09In your config file you have:
QUESTION
I want to get data form this array . I need id,tvtitle,tvmedia,tvlanguage,tvlogo,tvgroup value for insert in mysql .
Here is my Array :
...ANSWER
Answered 2021-May-22 at 23:43
foreach($items as $item){
$inputDatasfs = [
'id' => $item["id"],
'tvtitle' => $item["tvtitle"],
'tvmedia' => $item["tvmedia"]
// etc etc
];
// you removed the actual code for this so this is just an example
Db.......
->insert($inputDatasfs );
}
QUESTION
I have a dataframe with some columns that I want to modify depending on whether they match some patterns included in a vector with regular expressions
...ANSWER
Answered 2021-May-20 at 22:21One option utilizing stringr
and purrr
could be:
QUESTION
I have a data frame that looks like below. Data type of Output
is string.
ANSWER
Answered 2021-Apr-22 at 16:39We can skip the part where the intermediate dataframe is created and directly approach to create the resulting dataframe. Here, we can use str.findall
to find the token pairs e.g. (ab, 1), (bc, 2)
etc. which can be used to create records corresponding to each row, where each record contains the column names as keys and corresponding values, then we can easily create the resulting dataframe from these records.
QUESTION
I am looking for a simplified logic to get substring of string if the string matches set of sequences. To be more precise, I am looking for a way to extract person name entered in address line 2 of an address.
Here is an example string patterns:
Example code written to address the possible sequences:
...ANSWER
Answered 2021-Mar-19 at 16:24Try this if the first word is always the identifier. Not the most optimal solution, but something for you to continue.
QUESTION
I am having ubuntu 18.04 running on a server. I am got a JasperServer image running on docker in it. I am trying to access it from my system. But it throws the following error:
...ANSWER
Answered 2020-Oct-16 at 12:12Based on your question, you know:
- Docker container is running
- Docker container is listening to port 9095
- telnet from Linux server to docker container is working
- telnet from other client somewhere in Internet to docker container is NOT working
I guess your Ubuntu server is not accepting incoming requests from Internet on port 9095. There can be many reasons for that:
- Your server has firewall settings, which block connection
- Your server did not publish port 9095 to Internet
- Your client has no Internet access, when using port 9095
So I would investigate these aspects.
The docker part seems to be ok, because telnet to localhost is working.
QUESTION
Input: toAccount = 'Electricity/Water'
Grammar:
ANSWER
Answered 2020-Sep-17 at 23:19The problem is with the set range operator, aka 'dash'. To include the range operator as a literal, you must either escape it
QUESTION
def get_NYSE_tickers():
an = ['A', 'B', 'C', 'D', 'E', 'F', 'H', 'I', 'J', 'K', 'L',
'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W',
'X', 'Y', 'Z', '0']
for value in an:
resp = requests.get(
'https://www.advfn.com/nyse/newyorkstockexchange.asp?companies={}'.format(value))
soup = bs.BeautifulSoup(resp.text, 'lxml')
table = soup.find('table', class_='market tab1')
tickers = []
for row in table.findAll('tr', class_='ts1',)[0:]:
ticker = row.findAll('td')[1].text
tickers.append(ticker)
for row in table.findAll('tr', class_='ts0',)[0:]:
ticker = row.findAll('td')[1].text
tickers.append(ticker)
with open("NYSE.pickle", "wb") as f:
while("" in tickers):
tickers.remove("")
pickle.dump(tickers, f)
print(tickers)
get_NYSE_tickers()
...ANSWER
Answered 2020-Sep-13 at 00:13import requests
from bs4 import BeautifulSoup
from string import ascii_uppercase
import pandas as pd
goals = list(ascii_uppercase)
def main(url):
with requests.Session() as req:
allin = []
for goal in goals:
r = req.get(url.format(goal))
df = pd.read_html(r.content, header=1)[-1]
target = df['Symbol'].tolist()
allin.extend(target)
print(allin)
main("https://www.advfn.com/nyse/newyorkstockexchange.asp?companies={}")
QUESTION
I'm doing a course on compiler techniques. I have created a g4 format file, and will compile it when I try to do that by using java compiler (javac), then it gives me lots of errors.
Someone who can explain what I am doing wrong?
Below I'm showing what I'm typing and what I'm doing wrong. I tried to check, if I didn't install the antlr4, but I already did, and I am sure I did. Did the every installation through Ubuntu application through Microsoft Store, and I am using Ubuntu terminal on Windows 10.
...ANSWER
Answered 2020-Sep-08 at 17:58The Java compiler cannot find the ANTLR runtime classes (this is the meaning of the error: package org.antlr.v4.runtime does not exist
error). In other words, the classes in antlr-4.8-complete.jar
are not properly added to your CLASSPATH.
Forget about any aliases for these commands: learn how to compile Java classes yourself.
First make sure the files antlr-4.8-complete.jar
and dato.g4
are in the same folder, and open a terminal and CD into this folder.
QUESTION
I'm trying to select rows out of groups by max value using df.loc[df.groupby(keys)['column'].idxmax()]
.
I'm finding, however, that df.groupby(keys)['column'].idxmax()
takes a really long time on my dataset of about 27M rows. Interestingly, running df.groupby(keys)['column'].max()
on my dataset takes only 13 seconds while running df.groupby(keys)['column'].idxmax()
takes 55 minutes. I don't understand why returning the indexes of the rows takes 250 times longer than returning a value from the row. Maybe there is something I can do to speed up idxmax?
If not, is there an alternative way of selecting rows out of groups by max value that might be faster than using idxmax?
For additional info, I'm using two keys and sorted the dataframe on those keys prior to the groupby and idxmax operations. Here's what it looks like in Jupyter Notebook:
import pandas as pd
ANSWER
Answered 2020-Aug-05 at 21:22sort and drop duplicates:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install ATN
You can use ATN 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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