bwbaugh infertweet issues

bwbaugh / infertweet

Infer information from Tweets. Useful for human-centered computing tasks, such as sentiment analysis, location prediction, authorship profiling and more!

http://infertweet.bwbaugh.com/

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Enable Sourcegraph

#50 reematassi closed 9 years ago
0
Migration needed to Twitter API v1.1 for search

#49 bwbaugh opened 11 years ago
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Web template and static files are not included in package distribution

#48 bwbaugh closed 11 years ago
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Show performance change after misclassification report

#47 bwbaugh opened 11 years ago
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Online learning of misclassification reports

#46 bwbaugh closed 11 years ago
0
Features from best SemEval-2013 participant, NRC-Canada

#45 bwbaugh opened 11 years ago
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Use locations when searching Twitter to get location specific statistics

#44 bwbaugh closed 11 years ago
1
Infinite scrolling to load more results

#43 bwbaugh opened 11 years ago
0
Allow production (performance) mode for web server

#42 bwbaugh opened 11 years ago
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Wait for results from Twitter asynchronously

#41 bwbaugh closed 11 years ago
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Require an API key for access to the JSON API services

#40 bwbaugh opened 11 years ago
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UnboundLocalError in get-method calling log_query

#39 bwbaugh closed 11 years ago
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User feedback on the output of the classifier

#38 bwbaugh closed 11 years ago
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Confidence level for subjective documents

#37 bwbaugh closed 11 years ago
1
Allow users to help label data selected by an active learning algorithm

#36 bwbaugh closed 11 years ago
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Pseudo relevance feedback from user queries

#35 bwbaugh opened 11 years ago
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Show both subjectivity confidence and polarity confidence

#34 bwbaugh opened 11 years ago
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Include current version (Git SHA) for debugging purposes

#33 bwbaugh closed 11 years ago
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Usage information on index page

#32 bwbaugh opened 11 years ago
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Log web requests asynchronously

#31 bwbaugh closed 11 years ago
0
Try part of speech tag n-grams

#30 bwbaugh opened 11 years ago
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Try hashing trick

#29 bwbaugh opened 11 years ago
1
Experiment with Art Festival dataset

#28 bwbaugh opened 11 years ago
0
Hierarchical sentiment classifier, single feature classification, erroneous probabilities?

#27 bwbaugh opened 11 years ago
2
Process sentiment classification queries asynchronously

#26 bwbaugh closed 11 years ago
3
Add a RESTful JSON API

#25 bwbaugh opened 11 years ago
0
RPC server has AttributeError when trying to load sentiment classifier

#24 bwbaugh closed 11 years ago
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Convert the constants module into a configuration file

#23 bwbaugh closed 11 years ago
1
Try character n-grams

#22 bwbaugh opened 11 years ago
0
Try different labels for the hierarchical classifier levels

#21 bwbaugh opened 11 years ago
2
Predict local time of tweet based on text content

#20 bwbaugh opened 11 years ago
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Try "freezing" the hierarchical classifier

#19 bwbaugh opened 11 years ago
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Use class name of approach to title the axes

#18 bwbaugh opened 11 years ago
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Try dictionary trimming for feature selection

#17 bwbaugh opened 11 years ago
0
Display baselines on performance plots

#16 bwbaugh opened 11 years ago
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Use ROC or AUC as a performance metric

#15 bwbaugh opened 11 years ago
0
Learn from the Sentiment140 classifier

#14 bwbaugh opened 11 years ago
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Use Sentiment140 as a sentiment analysis baseline

#13 bwbaugh opened 11 years ago
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Use counts of the features' conditional probabilities

#12 bwbaugh opened 11 years ago
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Write experimental results to a file

#11 bwbaugh opened 11 years ago
0
Use Google Charts API instead of Matplotlib?

#10 bwbaugh closed 11 years ago
1
Search for tweets by keywords, display inferred information

#9 bwbaugh closed 11 years ago
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Web based user interface

#8 bwbaugh closed 11 years ago
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Histogram of confidence values for test instances

#7 bwbaugh opened 11 years ago
0
Display the confusion matrix during training

#6 bwbaugh closed 11 years ago
0
Use Matplotlib to plot performance

#5 bwbaugh closed 11 years ago
0
Compare single classifier vs. hierarchical classifier

#4 bwbaugh closed 11 years ago
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Use SemEval training data for sentiment analysis

#3 bwbaugh closed 11 years ago
1
Learn from (noisy) positive / negative training instances

#2 bwbaugh closed 11 years ago
0
Ideas for experimental variables for sentiment analysis

#1 bwbaugh opened 11 years ago
0