{"payload":{"header_redesign_enabled":false,"results":[{"id":"166569440","archived":false,"color":"#3572A5","followers":0,"has_funding_file":false,"hl_name":"larifeliciana/SCL_CrossDomain_SentimentAnalysis","hl_trunc_description":"\n<a class=\"user-mention\" data-hovercard-type=\"user\" data-hovercard-url=\"/users/yftah89/hovercard\" data-octo-click=\"hovercard-link-click\" data-octo-dimensions=\"link_type:self\" href=\"https://github.com/yftah89\">@yftah89</a> 's Structural Correspondence Learning with differente machine learning classifiers and features extraction","language":"Python","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":166569440,"name":"SCL_CrossDomain_SentimentAnalysis","owner_id":22135940,"owner_login":"larifeliciana","updated_at":"2019-01-24T20:24:30.322Z","has_issues":true}},"sponsorable":false,"topics":["sentiment-analysis","cross-domain","sentiment-classification","domain-adaptation","cross-domain-sentiment"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":61,"errors":[],"result_count":1,"facets":[],"protected_org_logins":[],"topics":null,"query_id":"","logged_in":false,"sign_up_path":"/signup?source=code_search_results","sign_in_path":"/login?return_to=https%3A%2F%2Fgithub.com%2Fsearch%3Fq%3Drepo%253Alarifeliciana%252FSCL_CrossDomain_SentimentAnalysis%2B%2Blanguage%253APython","metadata":null,"warn_limited_results":false,"csrf_tokens":{"/larifeliciana/SCL_CrossDomain_SentimentAnalysis/star":{"post":"6WSfBCBcURX-wSACcvDhiy4LhvLU7UsCSOxkibPS748G5Lea-qA4TGLn_Kf6-3_LVqJVFBkcyQvt2qDwHB1w5Q"},"/larifeliciana/SCL_CrossDomain_SentimentAnalysis/unstar":{"post":"LjeH392evhhsFbT_m9GtEV2oEW_d02QDIcGbK49zXqpofCQNA_Thxf-fAmlRBUCgriZWLMwA-EVi4M1RRKmdng"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"ntL6uhirQRTxtGPCNj0i9AOhfgnFzmUM4frVwiuQGunVbYPgn4w1e56QoWzrmrYJ3hBzCOzs0aDZU9iXuraaNA"}}},"title":"Repository search results"}